talent acquisition coordinator - 12 month ftc

graduate recruiter

recruiter

recruitment consultant

talent acquisition coordinator - 12 month ftc Jobs in London

technical recruiter

entry level recruiter

Databricks

<div><p><b>The Role</b></p>
<p>As a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present&mdash;combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage.</p>
<p><b>The Impact You Will Have</b></p>
<ul><li>Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning</li>
<li>Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins</li>
<li>Own frontline technical relationships with customer engineers, data teams, and technical leads</li>
<li>Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption</li>
<li>Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations</li>
<li>Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community</li>
</ul><p><b>What We Look For</b></p>
<ul><li>4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role</li>
<li>Proficient in Python and PySpark/Spark with demonstrated ability to debug, optimize, and write production-quality code &mdash; live coding is a required interview stage</li>
<li>Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)</li>
<li>Working knowledge of distributed data systems: Apache Spark&trade;, Delta Lake, or equivalent (Hadoop, Kafka, Flink)</li>
<li>Experience leading technical customer conversations &mdash; discovery, whiteboarding, architecture reviews</li>
<li>Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics</li>
<li>Strong presentation and demo skills &mdash; you will build and present a live solution during the interview</li>
<li>Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)</li><br>
</ul><p><br>
<b>Nice to Have:</b></p>
<ul><li>Databricks certification or experience with the Databricks Platform</li>
<li>Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow</li>
<li>Background at a data/AI company, cloud provider, or technical consulting firm</li>
</ul><p><b>Interview Process:</b> Recruiter Screen Hiring Manager Screen Design and Architecture Interview Live Coding Assessment Build, Demo, Pitch! Presentation Reference Check</p><br>
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<div><p><b>About Databricks</b></p>
<p>Databricks is the Data and AI company. More than 20,000 organizations worldwide &mdash; including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 &mdash; rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
<br>
<br>
<b>Benefits
</b><br>
<br>
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.<br>
<br>
<br>
</p><p><b>Our Commitment to Diversity and Inclusion</b></p>
<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>
<p><b>Compliance</b></p>
<p><b>If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</b></p></div></div>

Sr. Solutions Engineer

Mott MacDonald

<div><div><div><div><div><div><div>Location</div>
<div>London, United Kingdom</div>
</div><div><div>Country</div>
<div>United Kingdom</div>
</div><div><div>Contract type</div>
<div>Permanent</div>
</div><div><div>Work pattern</div>
<div>Variable Hours, Part Time, Full Time</div>
</div><div><div>Market</div>
<div>Buildings</div>
</div><div><div>Discipline</div>
<div>Health, Consultancy</div>
</div><div><div>Job ref</div>
<div>16522</div>
</div><div><div>Recruiter contact</div>
<div>Aoife Cullen</div>
</div></div><div>Apply now
</div></div></div></div><div><div><div><div><div><p><b>Location/s: </b>London, UK
<br>
<b>Recruiter contact: </b>Aoife Cullen<b><br>
</b><br>
</p><p></p><p>Mott MacDonald is a global engineering, management, and development consultancy with over 20,000 employees across more than 50 countries and 140+ offices.</p><br>
<p><br>
We work across incredible global industries, delivering exciting work that is defining our future and making an important societal impact in the communities we serve. Our people power our performance &ndash; we succeed when they do. With countless opportunities to collaborate, learn, and grow, the possibilities for excellence are as varied as every individual.<br>
</p><p><br>
Whether you want to grow as a subject matter expert or broaden your experience with roles across our international community, you&rsquo;re surrounded by global specialists who want to combine their expertise and champion you to be your best. As a proudly employee-owned business, we benefit our clients, our communities, and each other, investing in creating the right space for everyone to feel empowered, included, and valued. Whatever your ambition, Mott MacDonald is where people come to be <b>brilliant.</b><br>
</p><p></p><p><b>About the business unit</b>
<br>
The Buildings Unit (BLD) has a major presence in Mott MacDonald's regional offices throughout the UK and mainland Europe, providing a wide range of diverse and transferable cross-sector skills across five key Sectors; Advisory, Built Environment, Energy, Transportation and Water. We also provide local services to customers and technical leadership to the rest of the Group in these sectors.</p><br>
<p></p><p><b>Overview of the role</b></p>
<p>The Healthcare Consulting Services Portfolio of the Health Division provides strategic and operational consultancy advice and support to healthcare clients to improve services outcomes for patients and staff. A key part of this advice centres on having robust data analysis and modelling outputs to provide evidence-based solutions for clients.</p><br>
<p></p><p>We provide support to Department of Health &amp; Social Care, NHS England, New Hospital Programme, NHS clients and work internationally on projects in the Middle East, Canada and Australia.</p><br>
<p></p><p>Support the successful delivery of healthcare infrastructure, estates, digital and transformation projects by providing strategic, analytical and programme management expertise. Contribute to the development of innovative, data-driven and digitally enabled solutions that improve healthcare outcomes, operational efficiency and patient experience across healthcare organisations.</p><br>
<p></p><p>Key responsibilities and duties include:</p>
<ul><li>Deliver healthcare consultancy support across NHS programmes, projects and workstreams</li>
<li>Supporting clients to assess clinical and estate need, develop strategies and delivery plans and design solutions to transform and improve healthcare services, infrastructure and estates</li>
<li>Undertake strategic analysis and research activities to support strategic planning, business cases, service transformation, operational improvement and healthcare investment decisions</li>
<li>Engage with clinical, operational, estates and executive stakeholders to understand and clearly articulate requirements, facilitate workshops and engagement sessions and develop practical solutions</li>
<li>Analyse qualitative and quantitative information to develop a baseline for assessment, identify trends, risks, opportunities and produce evidence-based recommendations</li>
<li>Develop reports, presentations, business cases (short form, SOC, OBC.FBC) and other client deliverables to a high professional standard</li>
<li>Support the planning, management and delivery of programmes and projects, including governance, risk management, action tracking, stakeholder engagement and change control</li>
<li>Contribute to the development and authoring of healthcare strategies, operating models, service plans and transformation roadmaps</li>
<li>Support organisations in adopting digital, data and technology-enabled solutions that improve patient, staff and operational outcomes</li>
<li>Apply data-driven approaches to inform decision-making, performance improvement and service transformation initiatives</li>
<li>Build and maintain strong client relationships, contributing to business development, bid preparation and the growth of the portfolio</li><br>
</ul><p></p><p><b>Candidate specification</b></p>
<ul><li>Experience of working within healthcare environments, ideally supporting NHS or public sector healthcare clients on estates, infrastructure, service transformation or operational improvement programmes</li>
<li>Knowledge of primary care estates, including the planning, utilisation, condition, compliance and development of community, primary care and neighbourhood health facilities</li>
<li>Experience contributing to the development of healthcare business cases, including strategic case narrative, options appraisal, benefits, risks, affordability, deliverability and value for money considerations</li>
<li>Ability to research, analyse and synthesise clinical, operational, estate and financial information to inform robust recommendations and investment decisions</li>
<li>Experience supporting or authoring estate strategies, service strategies, delivery plans, transformation roadmaps or programme-level reports for healthcare organisations</li>
<li>Understanding of healthcare policy, planning guidance and estate requirements, with the ability to translate these into clear, practical and client-focused outputs</li>
<li>Strong written communication skills, with evidence of producing high-quality reports, presentations and bid or client deliverables for senior stakeholders</li><br>
</ul><p></p><p><b>UK Immigration</b></p>
<p>Mott MacDonald Ltd. are not currently offering sponsorship to candidates under the Skilled Worker visa route in the UK. This decision is as a consequence of the changes made to the Skilled Worker route by the UK Government in April 2024. We continue to welcome applications from candidates who are eligible for alternative immigration routes in the UK, that do not require sponsorship as a Skilled Worker now or in future.</p><br>
<p></p><p><b>Agile working
</b></p><p>At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team, and personal commitments. We offer a hybrid working policy that embraces your well-being, flexibility, and trust.</p><br>
<p></p><p><b>Equality, diversity, and inclusion</b></p>
<p>We put equality, diversity, and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where <b>everyone</b> feels they can contribute.</p><br>
<p></p><p><b>AI Usage</b></p>
<p>At Mott MacDonald, we see the value AI can bring, but we take a people-first approach to hiring. While AI tools can help candidates prepare and build confidence, every application and hiring decision is reviewed by our recruitment and hiring teams. We encourage the responsible use of AI while ensuring we get to know the real person behind the application.</p><br>
<p></p><p><b>Accessibility
</b></p><p>We want you to feel supported and able to perform at your best throughout our recruitment process. If there is anything we can do to make applying or interviewing with us more accessible, please contact us at <b>reasonable.adjustments@mottmac.com</b> and we'll be happy to discuss how we can help.</p><br>
<p></p><p><b>We offer some fantastic benefits including:</b></p><br>
<p></p><p><b>Financial wellbeing</b></p>
<ul><li>We match employee pension contributions between 4.5% and 7%.</li>
<li>Life assurance equal up to 4 x your basic salary, with an option to increase the level of cover to 6 x your salary.</li>
<li>Our income protection scheme provides a financial benefit, as well as absence and return to work support due to long-term illness or injury.</li>
<li>Flexible benefits, including increased life assurance cover, critical illness insurance, payroll saving and will writing.</li>
<li>As an independently owned business we share the financial success of the business with all our colleagues in various ways including annual bonus schemes.</li><br>
</ul><p></p><p><b>Employee Ownership</b></p>
<ul><li>Our employee ownership model means no external investors, just us, creating a culture of shared success.</li>
<li>Our employees have a stake and a voice in our business, giving them a direct connection to our success through our personal and group performance bonuses.</li>
<li>As your career grows, so does your stake, recognising your long-term impact and contribution.</li>
<li>Your voice matters, with the opportunity to connect directly with senior leadership through formal channels to help shape our future.</li>
<li>For our senior roles you will have a direct pathway towards ownership from day one.</li><br>
</ul><p></p><p><b>Health and wellbeing</b></p>
<ul><li>Private medical insurance for all UK colleagues.</li>
<li>Health cash plan to support you with every day health costs and treatments.</li>
<li>Access to Peppy, providing free support from menopause experts for all UK colleagues.</li>
<li>A variety of wellbeing support is available through our comprehensive wellbeing program, including access for you and your family.</li>
<li>Ability to flex your salary to opt into a wide range of health benefits, many of which can be extended to your family too.</li><br>
</ul><p></p><p><b>Lifestyle
</b></p><ul><li>A minimum of 33-35 days holiday each year, inclusive of public holidays and dependent on level, with the ability to buy or sell leave through our flexible benefits programme.</li>
<li>10 days additional paid leave for Armed Forces Reservists and Cadet Force Adult Volunteers.</li>
<li>Holiday entitlement increased to a minimum of 35 days after 5 years&rsquo; service.</li>
<li>Variety of employee saving schemes and discounts from high-street retailers.</li><br>
 </ul><p></p><p><b>Enhanced family and carers leave</b></p>
<ul><li>Enhanced family leave policies, including 26 weeks paid maternity and adoption leave, and two weeks paid paternity/partner leave.</li>
<li>Our shared parental leave matches maternity leave meaning we pay up to 24 weeks at full pay.</li>
<li>Up to five additional days leave are provided for those with significant caring responsibilities, two of which are paid.</li>
<li>We offer policies and dedicated support to help military families balance service life with career and wellbeing.</li><br>
</ul><p></p><p><b>Learning and development</b></p>
<ul><li>Primary annual professional institution subscription.</li>
<li>A broad range of opportunities to enhance both technical and soft skills through mentoring, formal training, and self-development options.</li><br>
</ul><p></p><p><b>Networks, communities, and social outcomes</b></p>
<ul><li>Join a wide range of groups including our Advanced Employee Networks which support our LGBTQ+, gender, race and ethnicity, disability, and parents/carers communities.</li>
<li>We are proud signatories of the Armed Forces Covenant and Gold Award holders in the MOD Employer Recognition Scheme, supported by our dedicated internal Armed Forces Network.</li>
<li>Make a difference within our communities through our social outcomes.</li><br>
</ul><p></p><p>Apply now, or for more information about our application process, click here.</p></div></div></div></div></div></div>

Management Consultant

NTT DATA

Make an impact with NTT DATA
<br>Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
<br><br>
Your day at NTT DATA
<br><br>
We are seeking a highly experienced and visionary Data Solutions Architect (Modern Big Data) to join our Data AI practice. The successful candidate will bring extensive expertise in architecting and delivering modern big data platforms that are scalable, reliable, and business-aligned. This role is pivotal in enabling clients to harness the power of streaming data, data lakes, lakehouses, and advanced analytics platforms, while guiding them on their data modernization journeys.
<br><br>
As a trusted advisor, you will collaborate with executives, stakeholders, and technical teams to define modern big data strategies, design cloud-native architectures, and implement industry-leading best practices. You will thrive in a fast-paced, evolving technology environment, continuously expanding your knowledge to ensure NTT DATA and our clients remain leaders in data-driven innovation.
<br><br>
<b>Looking ahead to future opportunities:</b> As our business continues to grow, we are building a pipeline of exceptional talent for upcoming positions across the UK. This advertisement is intended to identify and engage candidates in advance of specific vacancies becoming available. We encourage you to apply if you would like to be considered for future opportunities that match your expertise.
<br><br>
Primary Responsibilities
<br><ul>
<li>Client Engagement Delivery</li>
<li>Solution Design Implementation</li>
<li>Modernisation Transformation</li>
<li>Thought Leadership Knowledge Sharing</li>
<li>Collaboration Leadership</li>
</ul>
Business Relationships
<br><ul>
<li>Client Partners</li>
<li>Practice Leaders and Members</li>
<li>Peer-level relationships within client organisations up to Head of Data Engineering, Chief Data Architect, CIO, and CDO level</li>
</ul>
<b>To thrive in this role, you need to have:</b><br>
Key Competencies
<br><ul>
<li>Demonstrated expertise in designing and implementing modern big data architectures for large enterprises.</li>
<li>Strong consulting values with the ability to engage effectively with senior client stakeholders.</li>
<li>Hands-on experience across the data lifecycle: ingestion, storage, transformation, governance, analytics, and consumption.</li>
<li>Deep understanding of data product strategies, Data Mesh, and Data Fabric concepts.</li>
<li>Ability to align data strategies with business objectives, driving measurable value.</li>
<li>Excellent analytical, problem-solving, and communication skills.</li>
<li>Proven experience leading data modernisation initiatives across multiple sectors.</li>
</ul>
Technical Expertise
<br><ul>
<li>Proficiency with big data technologies: Apache Spark, Kafka, Confluent, Databricks, Unity Catalog.</li>
<li>Strong knowledge of cloud ecosystems (AWS, Azure, GCP) and infrastructure-as-code (Terraform, CloudFormation).</li>
<li>Hands-on expertise with data lake/lakehouse architectures and modern streaming solutions.</li>
<li>Experience with SQL, NoSQL, ETL/ELT pipelines, and programming languages (Python, R, Java).</li>
<li>Familiarity with BI, data visualisation, and DevOps principles.</li>
<li>Strong understanding of data governance, security, and compliance frameworks (GDPR, CCPA, HIPAA).</li>
<li>Exposure to machine learning and AI integration within modern data platforms.</li>
</ul>
Experience, Qualifications, and Education
<br><ul>
<li>Experience: Minimum 8–12 years in data architecture, engineering, or consulting, with at least 4 years in modern big data solution architecture.</li>
<li>Education: University degree required.</li>
<li>Preferred: BSc/MSc in Computer Science, Data Engineering, or related field.</li>
<li>Relevant certifications in Databricks, Kafka, or cloud platforms highly desirable.</li>
</ul>
Measures of Success
<br><ul>
<li>Delivery of modern big data solutions aligned to client business objectives.</li>
<li>High client satisfaction and repeat engagements.</li>
<li>Leadership in client transformation journeys to cloud-native data platforms.</li>
<li>Contribution to practice growth through assets, accelerators, and thought leadership.</li>
</ul>
<b>Workplace type:</b><br>
About NTT DATA
<br>NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune
<br><br>
Global 100. We are committed to accelerating client success and positively impacting society through
<br><br>
responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with
<br><br>
unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and
<br><br>
application services. Our consulting and industry solutions help organizations and society move
<br><br>
confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more
<br><br>
than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as
<br><br>
established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each
<br><br>
year in RD.
<br><br>
Equal Opportunity Employer
<br>NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
<br><br>
Third parties fraudulently posing as NTT DATA recruiters
<br><br>
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Databricks Solution Architect

Intellias

<div><div><div>Meet your recruiter</div>
<div>Daria Kovtun</div>
 <div>daria.kovtun@intellias.com https://www.linkedin.com...
</div></div><div><div>Vacancy details</div>
 <div><div>DevOps Engineering
 </div><div>DevOps Engineer (AWS)
 </div><div>Principal
 </div><div>London, United Kingdom
 </div><div>Hybrid</div></div></div></div><div></div>
<br><div><div><p>Our client is a leading global investment management company headquartered in London. It manages over $228 billion in assets and serves institutional investors, pension funds, wealth managers, and other sophisticated clients worldwide. The firm specializes in quantitative investing, alternative investments, systematic trading strategies, and technology-driven asset management. Data science, machine learning, and AI are core components of its investment and research processes.</p>
<p>As part of our collaboration we will focus on two foundational capabilities required to enable safe and scalable AI adoption across the enterprise: Agentic Security and AI-Ready Data Foundations.</p>
</div><div><h3 class="jobSectionHeader"><b>What project we have for you</b></h3>
<div><p>We build the data foundations and evaluation frameworks that make AI useful, reliable and safe inside regulated financial firms. The value of an AI agent depends not only on the models behind it, but also on the quality of the structured and unstructured data it consumes and the accuracy, relevance and traceability of the outputs it produces. Your job is to measure that quality, identify where it breaks down and turn the findings into practical improvements.</p>
<p>This is an *<b>engineering</b>* role, not an analytical one. You will build the agentic workflows that reason over the firm&rsquo;s research content, and the ingestion, evaluation and guardrail tooling that makes their output trustworthy enough for investment professionals to act on. None of this tooling exists today &mdash; you would be building it from scratch.</p>
</div></div><div></div><div><h3 class="jobSectionHeader"><b>What you will do</b></h3>
<div><ul><li>Designing, building, and maintaining the Python services, libraries, and command-line tooling that make up the internal infrastructure platform.</li>
<li>Working with the engineering teams who consume the platform to understand their workflows and turn recurring pain points into platform features.</li>
<li>Replacing manual infrastructure operations with codified, self-service workflows, so that environments are reproducible, reviewable, and safe to change.</li>
<li>Building observability into the platform through metrics, structured logging, and alerting, so failures surface before consuming teams report them.</li>
<li>Owning production issues in the platform end to end, from triage and root cause analysis through the code or configuration change that prevents a recurrence.</li>
<li>Managing and scaling the compute and storage the platform provisions across on-premises hardware, balancing performance against cost as usage grows.</li>
<li>Building security into the platform by default: secrets management, least-privilege access, dependency hygiene, and an auditable history of every infrastructure change.</li>
<li>Evaluating new tools, libraries, and patterns, and folding the ones that earn their place into the platform roadmap.</li>
</ul></div></div><div></div><div><h3 class="jobSectionHeader"><b>What you need for this</b></h3>
<div><ul><li>7+ years of software engineering experience, a substantial part of it spent building infrastructure or platform tooling rather than operating it</li>
<li>Python (required): production-level Python, including packaging, typing, testing, and dependency management. The platform is written in Python and you will be extending it, not scripting around it. Bash for glue work.</li>
<li>On-premises infrastructure: solid Linux fundamentals, and working knowledge of the networking, storage, and virtualization layers the platform sits on. Platform code talks to this hardware directly, so you need to understand what is underneath the abstraction.</li>
<li>Infrastructure as code: hands-on experience with Terraform and Ansible, which are the tools in use here. Infrastructure here lives in version control and goes through review like application code.</li>
<li>Containers and orchestration: Docker and Kubernetes, including how workloads are scheduled, configured, and given access to resources at runtime.</li>
<li>CI/CD and DevOps practice: experience building pipelines (GitLab CI, GitHub Actions, Jenkins) that test, package, and release software, and the practices around them, such as automated testing and staged rollouts.</li>
<li>Observability: experience instrumenting systems with Prometheus, Grafana, OpenTelemetry, or an equivalent stack, and using that data to diagnose failures in distributed systems.</li>
<li>Security (critical): a working grasp of secrets management, identity and access control, network isolation, supply-chain and dependency risk, and how to build these into a platform so that consuming teams inherit them by default.</li>
<li>Collaboration and communication: you can gather requirements from engineering teams and write documentation others can work from. You will also need to explain design decisions to people outside engineering.</li>
<li>Problem-solving: the judgment to work through system failures that have no obvious cause, and the patience to find out why rather than restart the service.</li>
<li>English level B2</li>
</ul><p><b>Personal Skills</b></p>
<ul><li>Adaptability: comfortable when priorities, tools, or requirements change mid-project.</li>
<li>Curiosity: you follow how other teams solve infrastructure problems and bring back what works.</li>
<li>Communication: you write and speak clearly enough that other teams can act on it without a follow-up meeting.</li>
<li>Teamwork: you work well with people outside your own team and share what you know.</li>
<li>Ownership: you follow a problem to its cause rather than handing it on when the symptom clears.</li>
<li>Attention to detail: you notice the small things, like an unpinned dependency or a permission wider than it needs to be.</li>
<li>Prioritization: you can judge what to do first when several teams need something at once.</li>
<li>User focus: you treat the engineers who use the platform as your users, and judge your work by whether theirs gets easier.</li>
</ul></div></div><div></div><div><h3 class="jobSectionHeader"><b>What it&rsquo;s like to work at Intellias</b></h3>
<div><p>At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That&rsquo;s why we offer a range of benefits that support your well-being and charge your professional growth.
<br>
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
<br>
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.</p>
</div></div><div></div><div><h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><div>DevOpsPractices</div>
<div>On-premises</div>
<div>Python</div>
<div>Security</div></div></div></div>

Principal Platform Engineer (Python)

Cartesia

<div><h1 class="jobSectionHeader"><b>About Cartesia</b></h1><p>
Our mission is to architect AI that learns from and interacts with the world like humans do.</p><p>
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.</p><p>
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.</p><p></p><h2 class="jobSectionHeader"><b>
The Role</b></h2><p>
We're looking for a Product and Research Operations Manager to run the operational backbone of Cartesia's Voice function - supporting voice production for customers, talent sourcing and logistics, and voice delivery for Go-To-Market and Customer Success. You'll work directly alongside our Voice Production Lead and Voice Library Lead, and provide hands-on support across their respective work-streams.</p><p>
Part of your time will go toward cross-functional ad-hoc operations, including supporting growth initiatives.</p><h2 class="jobSectionHeader"><b>
Your Impact</b></h2><ul><li><p><b>
Voice Production &amp; Library - </b>Support execution of voice production runs alongside the Voice Production Lead. Over time, you'll own day-to-day production and library health reporting, take on more locales and volume, and build automations to streamline the process.</p></li><li><p><b>
Sourcing &amp; Talent logistics - </b>Support voice sourcing alongside the Voice Library Lead. Build the systems to source, vet, and create voices for the voice library with voice acting talent as well as vendors.</p></li><li><p><b>
Customer Voice Delivery &amp; Enablement -</b> Own customer-facing voice engagements end to end, driving customers to be successful with our models. Drive voice-related GTM enablement.</p></li><li><p><b>
Ad-hoc Strategy and Growth Projects -</b> Support ad-hoc strategy &amp; operations work, including helping run events and marketing initiatives for Cartesia in London. Support Cartesia&rsquo;s growth in international markets on a project by project basis.</p></li></ul><h2 class="jobSectionHeader"><b>
What We're Looking For</b></h2><ul><li><p>
3 - 6 years as an operator at a high-growth tech startup or in strategy consulting (MBB or similar)</p></li><li><p>
High agency - a proactive self-starter who can operate autonomously to get things done in ambiguous environments</p></li><li><p>
Customer-facing chops, with the ability to drive conversations with executives</p></li><li><p>
Semi-technical - comfortable using tools like Cursor, Claude Code, etc to build lightweight systems, and understands core concepts of system design</p></li><li><p>
Genuine interest in operating with founder-level hunger, and real enthusiasm for voice and audio technology - you have opinions on it, not just interest</p></li></ul><p><b>
What makes a strong candidate:</b></p><ul><li><p>
Experience in the AI industry, especially in AI Strategy and Operations or Product Operations roles</p></li><li><p>
A track record of going out of your way to get things done proactively</p></li><li><p>
Builds lightweight systems autonomously</p></li><li><p>
Detail-oriented under volume; maintains attention to detail even with large volume of tasks</p></li><li><p>
Credible in front of GTM teams and customers without needing a lead in the room</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
More Details</b></h1><p>
<b>In-office policy: </b>We&rsquo;re an in-person team based out of offices in San Francisco, London and Bangalore. We love being in the office, hanging out together, and learning from each other every day.</p><p><b>
Visa sponsorship:</b> We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.</p><p>
<b>We ship fast.</b> All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don&rsquo;t sacrifice quality or design along the way.</p><p>
<b>We support each other. </b>We have an open &amp; inclusive culture that&rsquo;s focused on giving everyone the resources they need to succeed.</p><p></p><h1 class="jobSectionHeader"><b>
Our Benefits (US Employees Only)
</b></h1><p><b>Compensation </b>Competitive base salary alongside attractive equity package.</p><p>
<b>Health Insurance </b>Fully covered medical insurance along with dental and vision for you and your family.</p><p>
<b>Parental Leave </b>9 weeks paternity &amp; 12 weeks maternity leave
</p><p><b>401(k)</b></p><p>
<b>Commuter Allowance</b> A monthly stipend to help you get to and from the office.</p><p>
<b>Flexible PTO</b> Take as much time as you need to recharge your batteries.</p><p>
<b>Meals &amp; Snacks</b> Lunch, dinner and plenty of snacks, provided daily.</p><p>
<b>Your own personal Yoshi</b></p><p></p><h2 class="jobSectionHeader"><b>
Our Commitment to Equal Opportunity</b></h2><p><i>
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.</i></p></div>

Product and Research Operations Manager, Voices

Bumble

<div><p><b>What you'll do</b></p><p></p><ul><li><p>
Define and lead the technical strategy for AI and Machine Learning systems that power recommendations, ranking, and personalization across Bumble products, delivering measurable improvements in user engagement and safety</p></li><li><p>
Design, develop, and deploy production-grade models using modern ML frameworks such as PyTorch , ensuring scalability and reliability in high-traffic environments</p></li><li><p>
Build and deploy production AI Agents using raw and fine-tuned foundational Large Language Models (LLMs), along with sub-agents, tools, and MCP integrations</p></li><li><p>
Architect end-to-end ML pipelines, integrating data processing (e.g. Spark, Airflow) with model training, evaluation, and deployment workflows</p></li><li><p>
Drive experimentation frameworks, including A/B testing and offline evaluation, to continuously improve model performance and product outcomes</p></li><li><p>
Partner cross-functionally with Product, Engineering, and Data leadership to translate business challenges into impactful ML solutions, collaborating with purpose and influencing at senior levels</p></li><li><p>
Mentor and elevate senior individual contributors, fostering a culture of Excellence, Curiosity, and continuous learning across the ML community</p></li><li><p>
Take ownership of complex, ambiguous problem spaces, seeing initiatives through from insight to impact while adapting approaches with an agile mindset</p></li><li><p>
Champion responsible AI practices, ensuring fairness, transparency, and user safety are embedded into all machine learning systems</p></li></ul><p><b>
About You</b></p><p></p><ul><li><p>
Typically requires 10&ndash;15 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills.</p></li><li><p>
Deep expertise in machine learning, with hands-on experience building and deploying large-scale systems in production environments</p></li><li><p>
Strong proficiency in Python and at least one major ML framework (e.g. PyTorch, TensorFlow), with experience in areas such as recommendation systems, ranking models, or NLP</p></li><li><p>
Expertise in prompting and fine-tuning Large Language Models (LLMs) and building production AI Agents</p></li><li><p>
Proven experience designing scalable data and ML pipelines using tools such as Spark, Airflow, or similar distributed systems</p></li><li><p>
Demonstrated ability to operate as a senior individual contributor, influencing technical strategy and decision-making without direct authority</p></li><li><p>
Experience partnering effectively across functions, collaborating with purpose and taking ownership of outcomes in complex organisational environments</p></li><li><p>
A track record of mentoring and uplifting others, role modelling Respect and Excellence while building inclusive, high-performing teams</p></li><li><p>
Strong AI fluency, with the ability to independently design, evaluate, and optimise ML systems, and guide others in the responsible and effective application of AI</p></li></ul><p></p><p><b>
About Us</b></p><p>
Bumble Inc. is the parent company of Bumble Date, BFF, and Badoo. The Bumble platform enables people to build healthy and equitable relationships, through Kind Connections. Founded by Whitney Wolfe Herd in 2014, Bumble was one of the first dating apps built with women at the center and connects people across dating (Bumble Date) and friendship (BFF). BFF is a friendship app where people in all stages of life can meet people nearby and create meaningful platonic connections and community based on shared interests. Badoo, which was founded in 2006, is one of the pioneers of web and mobile dating products.</p><p><b>
AI Fluency</b></p><p>
AI is important to us. We&rsquo;re excited by people who are curious and experimental, and who think thoughtfully about how AI can amplify their impact and outcomes.</p><p>
We encourage you to use AI responsibly as you prepare your application. Please don&rsquo;t use it to fabricate experiences or answer questions live in interviews. We care deeply about authenticity and want to understand your real skills, judgment and voice, because building a meaningful, genuine connection with you matters to us.</p><p><b>
Final Compensation</b></p><p>
Will be determined based on factors such as the selected candidate&rsquo;s qualifications, relevant experience, skill set, and other job-related considerations.</p><p><b>
Inclusion at Bumble Inc.</b></p><p>
Bumble Inc. is an equal opportunity employer and we strongly encourage people of all ages, color, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process, please don't hesitate to let us know how we can help.</p><p>
In your application, please feel free to note which pronouns you use (For example: she/her, he/him, they/them, etc).</p><p><b>
AI in Bumble Inc. Hiring</b></p><p>
At Bumble, we may use AI tools to support parts of our recruitment process &mdash; such as helping us record, transcribe, and summarize conversations, and supporting job alignment by comparing resumes and job descriptions to highlight skills and potential roles that may be a good match. These tools help us work more efficiently and stay focused on you during our conversations. Importantly, all hiring decisions are made by people. AI is used only to support our team&rsquo;s efficiency and improve the candidate experience &mdash; not to evaluate or decide on your candidacy. Participation in AI-supported interviews and conversations is completely voluntary and will not impact your candidacy. If you&rsquo;d prefer to opt out, simply let your recruiter or interviewer know at the start of a call, or anytime during the interview or conversation. Summaries and related data are retained only as long as needed in line with our internal data retention policies. If at any point you&rsquo;d like a transcription or summary deleted, please contact your recruiter directly.</p><p><b>
Fraudulent Candidate Detection</b></p><p>
Our applicant tracking system analyzes signals relating to device, IP, email, and phone data associated with each application to protect applicants and our hiring process from fraudulent applications. These signals provide indicators for internal review only and do not constitute a definitive determination of identity or intent. No applicant is rejected, advanced, or otherwise affected based solely on this analysis without human review</p><p>
For further information on how we hold and manage your data, please refer to our Privacy Policy.</p></div>

Principal Machine Learning Engineer, Matching and Recommendations (UK Based)

<div><p>At Bumble, we're building a world where all relationships are healthy and equitable, and machine learning is central to making that real for millions of people every day. As part of our Machine Learning team in Recommendations, you'll help shape intelligent systems that power meaningful connections, safer interactions, and more personalised experiences across our platform.</p><p>
As a Machine Learning Engineer, you'll own ML problems end-to-end, from data exploration through to production. You'll bring curiosity to how we experiment, iterate, and improve, and you'll role-model our values of Curiosity and Excellence by continuously raising the bar in how we build and apply AI.</p><p>
AI is deeply embedded in how we evolve at Bumble. In this role, you'll work with modern machine learning and emerging AI techniques, contributing to scalable systems and helping ensure AI is applied thoughtfully and responsibly in what we ship.</p><p><b>
WHAT YOU WILL BE DOING</b></p><p></p><ul><li><p>
Explore, develop, and deliver cutting-edge technology using the latest advances in deep learning and machine learning to personalize recommendations at Bumble</p></li><li><p>
Own defined problems end-to-end, from data exploration and feature engineering through to model training, evaluation, and production deployment</p></li><li><p>
Apply modern ML frameworks (e.g., PyTorch or TensorFlow) to design, train, and optimise models in production environments</p></li><li><p>
Contribute to experimentation frameworks, including A/B testing and offline evaluation, to iterate on model performance with an agile mindset</p></li><li><p>
Maintain and monitor production models, diagnose issues, and iterate to keep them reliable at scale.</p></li><li><p>
Take ownership of delivering high-quality solutions and see work through from insight to impact, balancing speed and rigor</p></li><li><p>
Apply responsible AI practices, ensuring fairness, transparency, and safety are considered in model development and deployment</p></li></ul><p><b>
WE&rsquo;D LOVE TO MEET SOMEONE WITH</b></p><p></p><ul><li><p>
Around 3 years of hands-on experience building and shipping machine learning models in production.</p></li><li><p>
Strong programming skills in Python and solid proficiency with an ML framework such as PyTorch or TensorFlow.</p></li><li><p>
Industry experience in researching or applying machine learning, especially if in recommender systems, ranking or personalisation</p></li><li><p>
Good understanding of MLOps and infrastructure concepts: CI/CD for ML, feature stores, model serving, observability, and versioning.</p></li><li><p>
Familiarity with containerisation and cloud-native environments (e.g. Docker, Kubernetes, GCP).</p></li><li><p>
Familiarity with experimentation methodologies such as A/B testing and model evaluation techniques</p></li><li><p>
Demonstrates an agile mindset, adapting approaches based on data and evolving priorities while maintaining focus on outcomes</p></li><li><p>
Growing AI fluency, with the ability to independently apply ML techniques and emerging tools (including LLMs) to solve problems responsible</p></li></ul><p><b>
AN ADDED BONUS IF YOU HAVE</b></p><ul><li><p>
practical experience with recommendation systems, ranking, search or personalisation</p></li><li><p>
expertise in modern machine learning architectures (e.g., transformers, graph neural networks, contrastive learning, and multi-modal embeddings)</p></li></ul><p></p><p><b>
About Us</b></p><p>
Bumble Inc. is the parent company of Bumble Date, BFF, and Badoo. The Bumble platform enables people to build healthy and equitable relationships, through Kind Connections. Founded by Whitney Wolfe Herd in 2014, Bumble was one of the first dating apps built with women at the center and connects people across dating (Bumble Date) and friendship (BFF). BFF is a friendship app where people in all stages of life can meet people nearby and create meaningful platonic connections and community based on shared interests. Badoo, which was founded in 2006, is one of the pioneers of web and mobile dating products.</p><p><b>
AI Fluency</b></p><p>
AI is important to us. We&rsquo;re excited by people who are curious and experimental, and who think thoughtfully about how AI can amplify their impact and outcomes.</p><p>
We encourage you to use AI responsibly as you prepare your application. Please don&rsquo;t use it to fabricate experiences or answer questions live in interviews. We care deeply about authenticity and want to understand your real skills, judgment and voice, because building a meaningful, genuine connection with you matters to us.</p><p><b>
Final Compensation</b></p><p>
Will be determined based on factors such as the selected candidate&rsquo;s qualifications, relevant experience, skill set, and other job-related considerations.</p><p><b>
Inclusion at Bumble Inc.</b></p><p>
Bumble Inc. is an equal opportunity employer and we strongly encourage people of all ages, color, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process, please don't hesitate to let us know how we can help.</p><p>
In your application, please feel free to note which pronouns you use (For example: she/her, he/him, they/them, etc).</p><p><b>
AI in Bumble Inc. Hiring</b></p><p>
At Bumble, we may use AI tools to support parts of our recruitment process &mdash; such as helping us record, transcribe, and summarize conversations, and supporting job alignment by comparing resumes and job descriptions to highlight skills and potential roles that may be a good match. These tools help us work more efficiently and stay focused on you during our conversations. Importantly, all hiring decisions are made by people. AI is used only to support our team&rsquo;s efficiency and improve the candidate experience &mdash; not to evaluate or decide on your candidacy. Participation in AI-supported interviews and conversations is completely voluntary and will not impact your candidacy. If you&rsquo;d prefer to opt out, simply let your recruiter or interviewer know at the start of a call, or anytime during the interview or conversation. Summaries and related data are retained only as long as needed in line with our internal data retention policies. If at any point you&rsquo;d like a transcription or summary deleted, please contact your recruiter directly.</p><p><b>
Fraudulent Candidate Detection</b></p><p>
Our applicant tracking system analyzes signals relating to device, IP, email, and phone data associated with each application to protect applicants and our hiring process from fraudulent applications. These signals provide indicators for internal review only and do not constitute a definitive determination of identity or intent. No applicant is rejected, advanced, or otherwise affected based solely on this analysis without human review</p><p>
For further information on how we hold and manage your data, please refer to our Privacy Policy.</p></div>

Machine Learning Engineer (UK)

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