founder and chief technical officer

Voxquill

<div><p>I'm looking for our <b>founding engineer</b>!
<br>
The person who takes a live, paying fintech product and makes it truly ours.</p><p>
We build receipt-and-proof automation for the self-employed: the app quietly finds your receipts (email, bank feeds, camera roll, texts), sorts them, matches them to your bank transactions, and produces accountant-ready exports. It's live on iOS and Android, it's SOC 2 certified, and people are paying for it. The model works.</p><p>
I need one person who treats this codebase as theirs, ships fast, and owns the platform end-to-end. This is a founding engineer role with a <b>real path to CTO</b>.</p><p><b>
Your first job is to take the keys.</b>
<br>
Move the platform off the agency's Azure into ours, take custody of production, and the headline deliverable.
<br>
Build the automated test suite this codebase never had, with a CI/CD pipeline where a green build genuinely means &quot;safe to ship.&quot; Then you own the roadmap.</p><p><b>
How we build matters as much as what we build.</b>
<br>
We are not rebuilding an IT shop of tickets and manual QA.
<br>
Terrapin runs as an AI-native pod: Claude Code and agents do the repetitive work and produce tested, PR-ready changes; you own architecture, review, security, and the hard 20%.
<br>
AI gives you the velocity, your tests and pipeline are what keep that velocity from turning into breakage!
</p><p>We want to ship multiple times a week and almost never break anything, and hold our SOC 2 line the whole way. If that model excites you rather than worries you, you're the person.</p><p><b>
This is genuinely full-stack.</b>
<br>
Strong .NET / C# backend on Azure, real ownership of infra, security, and DevOps, and polished mobile (React Native + Expo, iOS and Android); Because the app <i>is</i> the product. Testing isn't someone else's job here. It's the core discipline.</p><p><b>
The kind of person whose teammates would describe as</b>:</p><ul><li><p>
an owner, not a ticket-taker</p></li><li><p>
obsessive about shipping quality fast</p></li><li><p>
calm owning production for a product with real money moving through it</p></li><li><p>
someone who builds automation instead of doing the same thing twice</p></li><li><p>
security-minded by instinct, not as an afterthought</p></li></ul><p><b>
What you'd bring:</b></p><ul><li><p>
Senior+ .NET / C# backend, PostgreSQL, solid API design</p></li><li><p>
Real Azure ownership: App Services, networking, Key Vault, identity, CI/CD (Azure DevOps or similar)</p></li><li><p>
Strong React Native + Expo mobile, with genuine UI/UX taste</p></li><li><p>
Test automation and CI/CD as a way of life &mdash; you write the tests with the code</p></li><li><p>
Hands-on building with Claude Code / agent tooling, and doing it safely in a SOC 2 world</p></li></ul><p><b>
Bonus points</b>: fintech / payments background, Plaid experience, or applied LLM work.</p><p>
And the reason the right engineer will actually stay: receipts are just the wedge. We're building toward a verifiable, tamper-evident record of an economic event. Proof that banks, insurers, and AI agents can consume directly. <b>Stripe is a payment rails. We're building proof rails.</b></p><p>
You'd work directly with me every day &mdash; 18+ years in fintech and payments, two exits behind me &mdash; so you own the engineering but never carry the hard architecture, security, or product calls alone.</p><p><b>
The details:</b>
<br>
UK or EU-remote(temporarily), with solid overlap to UK hours and business trips.
</p><p>We're genuinely open to strong candidates across both. Being open to relocating to the UK down the line is a plus, but not a day-one requirement.
<br>
Competitive base plus real founding-level equity.</p><p><b>
One hard line</b>: you build quality in through tests and CI/CD. We're deliberately leaving the manual-testing, hope-it-works world behind, and a dev who treats testing as optional isn't the hire. Everything else, we can talk about.</p><p>
If you want <b>founder-level ownership</b>, a CTO trajectory, and an AI-native way of building, and owning a live fintech platform from week one lights you up, <b>let's talk</b>.
</p><p>Apply and tell me about something you shipped that you're proud of, and one thing you broke and how you made sure it never happened again.</p></div>

Founding Engineer (Full Stack); Patch to CTO

Chubb Insurance

<div><p><b>ROLE PURPOSE
</b></p><p>The Tech Risk &amp; Compliance Lead is a hands-on, execution-focused role within the EMEA IT Risk and Compliance function, responsible for the practical design, implementation and testing of SOX IT General Controls (ITGCs) across the EMEA technology estate, alongside supporting compliance with the wider European regulatory landscape including the General Data Protection Regulation (GDPR) and the Digital Operational Resilience Act (DORA). The role holder works directly with architects and application owners to build IT controls into systems, performs control design and operating-effectiveness testing, collects and reviews evidence, manages deficiencies through to remediation, and acts as the day-to-day interface to internal and external auditors (PwC), risk and data protection functions, and regional IT leads<br>
</p><p></p><p><b>KEY RESPONSIBILITIES<br>
</b></p><p></p><p><b>Control Design, Implementation and Testing
</b></p><ul><li><div>Design and document SOX-compliant control specifications for IT platforms - covering logical access, change management, computer operations and segregation of duties - and work with IT owners to implement them in production.
</div></li><li><div>Apply controls-by-design in practice: review designs, configurations and change requests against control requirements and confirm SOX, data protection and operational-resilience controls are built in before changes reach production.
</div></li><li><div>Plan and execute control design and operating-effectiveness testing across the ITGC portfolio, including sample selection, test execution, workpaper preparation, and conclusion on control adequacy.
</div></li><li><div>Maintain a detailed control inventory, test calendar and RACI for each control, and track identified deficiencies through root-cause analysis to validated remediation.<br>
</div></li></ul><p></p><p><b>Architecture Review and Controls by Design
</b></p><ul><li><div>Review infrastructure architecture documents, design proposals, and change requests to assess SOX control implications prior to implementation; engage at design stage with architects and engineers to embed ITGCs, preventing control gaps from being introduced through system design.
</div></li><li><div>Provide compliance input into cloud migrations, platform modernisation, database upgrades, and identity management programmes.
</div></li><li><div>Develop and maintain a controls reference framework as a practical design guide for architects and platform owners.<br>
</div></li></ul><p></p><p><b>Regulatory Control Implementation and Testing - SOX, GDPR and DORA
</b></p><ul><li><div>Embed GDPR technical and organisational controls (access control, encryption, logging, data retention and deletion, and audit trails) into infrastructure design and the ITGC framework, partnering closely with the Data Protection Officer and privacy function.
</div></li><li><div>Establish a consolidated regulatory control mapping so that a single, well-designed set of controls satisfies SOX, GDPR and DORA obligations, reducing duplication and control fatigue across the estate.
</div></li><li><div>Report on control implementation and testing status against regulatory requirements and track remediation of identified gaps through to closure.<br>
</div></li></ul><p></p><p><b>Advisory and Stakeholder Engagement
</b></p><ul><li><div>Act as compliance advisor to application owners, architects, and engineering teams on ITGC-compliant access models, change workflows, and operational procedures.
</div></li><li><div>Participate in architecture review boards and governance forums as the designated compliance representative; serve as primary contact for internal audit and PwC for all infrastructure-related SOX testing, evidence requests, and findings management.
</div></li><li><div>Provide structured reporting to senior leadership on compliance posture, open findings, and remediation status.<br>
</div></li></ul><p></p><p><b>Technology Risk and Continuous Improvement
</b></p><ul><li><div>Conduct periodic IT risk assessments and produce decision-ready risk reporting for senior management; assess compliance implications of new technologies and delivery models prior to adoption.
</div></li><li><div>Drive standardisation and continuous improvement of the infrastructure compliance programme; develop guidance materials and training for infrastructure and application teams.
</div></li><li><div>Operate effectively within an evolving regulatory environment, including GDPR, DORA, FCA requirements, and Lloyd's reporting obligations.</div></li></ul></div>
<br><div><p><b>EXPERIENCE
</b></p><ul><li><div>Minimum 5 years in IT compliance, IT external or internal audit, or technology risk within financial services, insurance, or Big 4.
</div></li><li><div>Proven ownership of SOX ITGC programmes including proactive monitoring and deficiency remediation.
</div></li><li><div>Track record of reviewing architectural artefacts from a compliance perspective and guiding technical teams on control implementation.
</div></li><li><div>Prior engagement with Big 4 external audit at a senior client-side level, or equivalent auditor-side experience.
</div></li><li><div>SOX ITGCs: logical access, change management, computer operations, and segregation of duties.
</div></li><li><div>Privileged access management tools: CyberArk and/or SailPoint.
</div></li><li><div>Infrastructure platforms: Windows Server, Linux/AIX, iSeries (AS400), Oracle Database, SQL Server, and DB2.
</div></li><li><div>Ability to critically assess architecture documents and identify control design implications.
</div></li><li><div>Working knowledge of EU regulatory frameworks affecting infrastructure, including DORA operational-resilience requirements and GDPR technical and organisational controls.<br>
</div></li></ul><p></p><p><b>QUALIFICATIONS
</b></p><ul><li><div>Required: Bachelor's degree in Computer Science, Information Technology, or a related discipline.
</div></li><li><div>Preferred: Certified Information Systems Auditor (CISA).
</div></li><li><div>A dvantageous: CRISC, CISM, or equivalent professional qualification<br>
</div></li></ul><div></div><h2 class="jobSectionHeader"><b>We offer in return!<br>
</b></h2><p></p><p>Competitive salary &amp; pension scheme, discretionary bonus scheme, 25 days annual leave plus ability to purchase additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning &amp; development offerings, Employee Assistance program.<br>
</p><p></p><p><b>Integrity. client focus. respect. excellence. teamwork
</b></p><p>Our core values dictate how we live and work. We&rsquo;re an ethical and honest company that&rsquo;s wholly committed to its clients. A business that&rsquo;s engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that&rsquo;s collaborative and supportive.
</p><p>Diversity &amp; Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances.
</p><p>We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long-term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know.</p></div><div></div>

Tech Risk & Compliance Lead

The AA

<div><h3 class="jobSectionHeader"><b>Company Description/ Business Unit</b></h3><p><b>
Location: London (hybrid working 3 office days per week)</b></p>
<p><b>
Employment Type: Permanent, full time</b></p>
<p><b>
Additional Benefits: Annual Bonus</b></p>
<p>
Think the AA is just about roadside assistance? Think again.</p>
<p>
For over a century, we've been evolving and adapting. Today, as the nation's leading motoring organisation, we offer a wide range of products and services to millions of customers. From roadside assistance to home and motor insurance, and the latest driving technologies, we have it all. As we continue to expand, diversify, and modernise, joining us as a <b>Data Scientist </b>means you'll play a crucial role in our success and be part of this exciting motoring journey.</p>
<p>
Our Chief Operating Office (COO) are the backbone of The AA, providing both stability and structure to support growth and innovation. We are the drivers of change.</p>
<p>
#LI-Hybrid</p><h3 class="jobSectionHeader"><b>
This is the job</b></h3><p>
Data is one of the AA&rsquo;s biggest opportunities, and we are investing in the tools, platforms and AI capability to use it better. As a <b>Data Scientist</b>, you will help us turn complex data into practical solutions that improve how we forecast demand, optimise workforce deployment and support better decisions across our roadside operation.</p>
<p>
This role is particularly focused on demand and supply forecasting, using machine learning to help ensure the right patrol capability is available in the right place at the right time. You will work on real operational challenges linked to national workforce planning, resource optimisation, customer demand, service levels and operational performance.</p>
<p>
We are looking for someone who enjoys solving complex, real-world problems with data. You may have gained experience in organisations with large field-based, mobile or nationally deployed workforces, such as logistics, delivery, utilities, transport, airlines, emergency services, mobility or roadside operations. You will bring strong analytical thinking, practical data science capability and the confidence to translate technical insight into meaningful recommendations that help the business make better operational decisions.</p><h3 class="jobSectionHeader"><b>
What will I be doing?</b></h3><ul>
<li>Build and deploy statistical models and machine learning solutions to support forecasting, product development, value driver analysis and operational performance.</li>
<li>Use data mining, modelling and algorithmic approaches, including AI and LLM-enabled techniques where appropriate, to solve complex business problems.</li>
<li>Work with data, engineering, architecture and AI Centre of Excellence colleagues to design and embed scalable algorithms into AA platforms, products and channels.</li>
<li>Analyse trends, evaluate scenarios, assess risks and uncover insight that supports better business and customer outcomes.</li>
<li>Explore, onboard and use relevant data sources, ensuring data is appropriate, reliable and aligned to good data governance practice.</li>
<li>Communicate findings clearly through presentations, workshops and stakeholder conversations, translating technical insight into meaningful business recommendations.</li>
</ul><h3 class="jobSectionHeader"><b>What do I need?</b></h3><p>
We are looking for someone who can bring:</p>
<ul>
<li>Experience applying data science, machine learning or advanced analytics to demand forecasting, supply forecasting, workforce planning or operational optimisation.</li>
<li>Strong capability in Python, SQL and statistical modelling, with experience building practical models that support business decision making.</li>
<li>Experience working with complex operational data, ideally linked to mobile workforces, field operations, logistics, transport, delivery, utilities, emergency services, airlines, mobility or roadside operations.</li>
<li>The ability to turn ambiguous operational challenges into clear analytical questions, scalable models and actionable recommendations.</li>
<li>Strong communication skills, with the confidence to explain complex analysis clearly to technical and non-technical stakeholders.</li>
<li>An understanding of responsible data use, data quality and governance, with exposure to Databricks, Git, Jira, ML Ops, feature stores or data pipelines being beneficial.</li>
</ul><h3 class="jobSectionHeader"><b>Additional information</b></h3><p>
We&rsquo;re always looking to recognise and reward our employees for the work they do. As a valued member of The AA team, you&rsquo;ll have access to a range of benefits including:</p>
<ul>
<li>25 days annual leave plus bank holidays + holiday buying scheme</li>
<li>Worksave pension scheme with up to 7% employer contribution</li>
<li>Free AA breakdown membership from Day 1 plus 50% discount for family and friends</li>
<li>Discounts on AA products including car and home insurance</li>
<li>Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more</li>
<li>Company funded life assurance</li>
<li>Diverse learning and development opportunities to support you to progress in your career</li>
<li>Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family</li>
</ul>
<p>Plus, so much more!</p>
<p>
We&rsquo;re an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong. We have five communities to bring together people with shared characteristics and backgrounds and drive positive change.</p>
<p>
#LI-HH</p></div>

Data Scientist

PROXIMIE

<div><p>Proximie is on a mission to improve healthcare by transforming the world&rsquo;s operating rooms into connected ecosystems of people, devices, and data.</p><div><p>
Our Intelligence Suite transforms operating room (OR) performance, keeping teams in sync and workflows on track to maximise throughput. Simultaneously our computer vision and AI capabilities capture real-time data and detect surgical events &ndash; improving quality of data outputs. The result: ORs are optimised like never before &ndash; with predictive analytics and automated notifications ensuring patients and staff are in the right place at the right time.</p><p>
Once practitioners are in the OR, our Surgical Suite enables real-time remote access and creates a secure video record of every procedure; improving training, education, and collaboration. It is an intuitive asset which helps instil a culture of continuous learning, accelerates the adoption of cutting-edge medical devices, and enhances surgical performance across the entire global workforce &ndash; improving outcomes and saving lives.</p><p>
Proximie was commercialised in 2019 and is available in over 500 facilities globally.</p><p>
Check out our Founder and CEO Nadine&rsquo;s Origins Story here: https://www.proximie.com/about-us/</p><p>
Position Overview</p><p>
As Proximie continues to turn every activity and event in the operating room into comprehensive, structured, and context-rich data that drives better insights and decisions making, using your deep technical expertise and real-world experience you will be instrumental in developing and deploying machine learning solutions that improve clinical outcomes, drive productivity and support Proximie&rsquo;s continuing evolution into the unrivalled champion of the intelligent operating room.</p><p>
You will work with multi-modal data (audio, vision, and language) to curate, consolidate, and augment retrospective and prospective datasets that fuel the development of advanced machine learning solutions. You&rsquo;ll harness the power of Proximie&rsquo;s deep data lakes and apply cutting-edge generative techniques to solve real-world challenges for Proximie&rsquo;s customers. You&rsquo;ll also lead the development of intelligent systems that can automatically detect and capture key events in the operating room, designing robust solutions that work across diverse and unpredictable data distributions, tackling challenges like identifying rare events buried in hours of surgical video.</p><p>
This role demands creativity, precision, and a deep understanding of real-world machine learning at scale. If you&rsquo;re excited by complex problems with life-changing impact and want to build tech that operates in the most critical environments, we&rsquo;d love to hear from you.</p><p>
Responsibilities</p><ul><li><p>
Collaborate with product, engineering and commercial teams to develop and deploy AI models for real world application in hospitals all over the world.</p></li><li><p>
Design, train and validate machine learning mono and multi-modal models using state of the art approaches.</p></li><li><p>
Develop models and derived tools robust to the heterogeneity of operating room environments. With customers all over the world operating rooms are often different which creates unique opportunities for problem solving and model design.</p></li><li><p>
Own the full model lifecycle including but not limited to data curation, model implementation, training, validation, deployment, and maintenance.</p></li><li><p>
Development within Proximie environment to enable dynamic model training and performance evaluation while integrating with Proximie&rsquo;s data lakes.</p></li><li><p>
Document solutions and contribute to internal knowledge sharing and capability building.</p></li></ul><div><p>
Requirements</p><ul><li><p>
PhD in a machine learning field such as computer science, data science, engineering, or a related field. Masters considered but PhD preferred.</p></li><li><p>
Minimum of 4 years&rsquo; hands-on experience in industry, developing and deploying AI solutions which solve real-world problems.</p></li><li><p>
Expertise in developing, training and fine-tuning machine learning and multi-modal models. Experience in training models with data originating from heterogeneous distributions is highly desirable.</p></li><li><p>
Deep knowledge of a variety of traditional machine learning, deep learning and generative AI methods for both supervised, self-supervised and unsupervised learning with an emphasis on vision.</p></li><li><p>
Proficiency with deep learning frameworks such as TensorFlow/PyTorch.</p></li><li><p>
Proficiency with Python and strong software development background.</p></li><li><p>
Knowledge and experience with AWS is highly desirable.</p></li><li><p>
Experience with MLOps practices, including versioning, deployment, and monitoring of models highly desirable.</p></li><li><p>
Ability to communicate complex technical concepts clearly to non-technical stakeholders.</p></li></ul><p>
Why Work for Proximie?</p><ul><li><p>
You will be encouraged to grow in your role, take ownership and gain responsibilities. Proximie&rsquo;s values are Ownership, Deliver Results, Build Trust and Go Beyond.</p></li><li><p>
Generous annual leave.</p></li><li><p>
Two &ldquo;well-being&rdquo; days per year plus the day off for your birthday.</p></li><li><p>
&ldquo;Summer Fridays&rdquo; &ndash; early office closing on Fridays during summer months.</p></li><li><p>
Annual bonus programme &ndash; based on individual contribution.</p></li><li><p>
To support your professional growth, all permanent employees will have access to an annual stipend of &pound;1,000 to assist with personal development activities.</p></li><li><p>
Flexible working hours - we trust our people to manage their time and to focus on wider results.</p></li><li><p>
A flat organizational structure where every opinion matters, ideas are cultivated, and innovation is encouraged.</p></li><li><p>
Proximie is a truly global company with teams across the UK, Europe, United States and the Middle East with that you will have opportunities to see the world.</p></li></ul><p>
Proximie is an equal opportunity employer. We are committed to providing a work environment that supports, inspires, and respects all individuals. We do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under the law.</p></div></div></div>

Senior Machine Learning Engineer

NTT DATA

<div><p>We&rsquo;re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.</p>
<p>Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women&rsquo;s Business Network, Cultural and Ethnicity Network, LGBTQ+ &amp; Allies Network, Neurodiversity Network and the Parent Network.</p>
<p>For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA</p>
<p><b>Primary Responsibilities:</b></p>
<ul><li><p>Client Engagement &amp; Delivery</p>
</li><li><p>Data Pipeline Development (Batch and Streaming)</p>
</li><li><p>Snowflake &amp; Cloud Data Platforms</p>
</li><li><p>Data Architecture &amp; Modelling</p>
</li><li><p>Collaboration &amp; Best Practices</p>
</li><li><p>Quality, Governance &amp; Security</p><br>
</li></ul><p></p><p><b>Business Relationships:</b></p>
<ul><li><p>Solution Architects</p>
</li><li><p>Data Engineers, Developers, ML Engineers and Analysts</p>
</li><li><p>Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership</p>
</li></ul><p><b>Competencies / Critical Skills:</b></p><br>
<p></p>
<ul><li><p>Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms.</p>
</li><li><p>Strong consulting values with ability to collaborate effectively in client-facing environments.</p>
</li><li><p>Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.</p>
</li><li><p>Strong problem-solving, analytical, and communication skills.</p>
</li><li><p>Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions.</p><br>
</li></ul><p></p><p><b>Technical Expertise:</b></p>
<ul><li><p>Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning).</p>
</li><li><p>Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.</p>
</li><li><p>Strong SQL and Python (or equivalent language) skills for data manipulation and automation.</p>
</li><li><p>Hands-on experience with cloud platforms (AWS, Azure, GCP).</p>
</li><li><p>Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).</p>
</li><li><p>Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop).</p>
</li><li><p>Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.</p>
</li><li><p>Understanding of data governance, security, and compliance frameworks.</p>
</li><li><p>Exposure to AI/ML workloads desirable.</p><br>
</li></ul><p></p><p><b>Experience, Qualifications, and Education:</b></p>
<ul><li><p>Experience: Minimum 5&ndash;8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Snowflake.</p>
</li><li><p>Education: University degree required.</p>
</li><li><p>Preferred: BSc/MSc in Computer Science, Data Engineering, or related field</p>
</li><li><p>Snowflake certifications (SnowPro Core, Advanced) highly desirable.</p><br>
</li></ul><p></p><p><b>Measures of Success:</b></p>
<ul><li><p>Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.</p>
</li><li><p>High client satisfaction and successful adoption of Snowflake-based solutions.</p>
</li><li><p>Demonstrated ability to innovate and improve data engineering practices.</p>
</li><li><p>Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.</p>
</li></ul><p>We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.</p>
<p>You can find more information about NTT DATA UK &amp; Ireland here: https://uk.nttdata.com/</p>
<p>We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.</p>
<p>We are seeking an accomplished and detail-oriented Snowflake Data Engineer to join our Data &amp; AI practice. The successful candidate will bring deep expertise in data engineering, ETL/ELT pipelines, and cloud-native data platforms, with a strong focus on Snowflake. This role is critical in building and optimising modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients.<br>
<br>
As a trusted practitioner, you will collaborate with architects, developers, and analysts to design, implement, and maintain secure and high-performing data pipelines. You will thrive in a collaborative, client-facing environment, with a passion for solving complex data challenges, driving innovation, and ensuring the seamless delivery of data solutions.</p></div>

Snowflake Data Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>The Chief Data &amp; Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. As a part of CDAO, The Machine Learning Center of Excellence (MLCOE) partners across the firm to shape, create, and deploy Machine Learning Solutions for our most challenging business problems. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.</p><p>
As an intern within the MLCOE, you will apply sophisticated machine learning methods to a diverse range of complex domains, including natural language processing, large language models, speech recognition and understanding, reinforcement learning, and recommendation systems. You will collaborate closely with MLCOE mentors, business experts, and technologists, conducting independent research and deploying solutions into production. A strong passion for machine learning, solid expertise in deep learning with hands-on implementation experience, and a commitment to continuous learning and innovation are essential. This role offers a unique opportunity to contribute to and learn from a world-class machine learning team. Learn more about our MLCOE team at jpmorgan.com/mlcoe.</p><p>
Our Summer Associate Internship Program begins in June, depending on your academic calendar. Your professional growth and development will be supported throughout the internship program via project work related to your academic and professional interests, mentorship, an engaging speaker series with our senior leaders and more. Your project will have direct impact on JPMorgan's businesses, will be integrated into our product pipelines, or be part of published research in top AI/ML conferences. Full-time employment offers may be extended upon successful completion of the program within our hybrid work model.</p><p><b>
Job responsibilities</b></p><ul><li>
Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community</li><li>
Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems</li><li>
Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Enrolled in a PhD or MS in a quantitative discipline, e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, Data Science, or related fields, or equivalent research or industry experience,</li><li>
Expected graduation date of December 2026 through August 2027</li><li>
Solid background in NLP, large language models, speech recognition and modelling, or personalization/recommendation. Familiarity with state-of-the-art practice in these domains</li><li>
Proficient in Python, and experience with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)</li><li>
Scientific thinking, ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals</li><li>
Solid written and spoken communication to effectively communicate technical concepts and results to both technical, and business audiences</li><li>
Ability to work both independently and in highly collaborative team environments</li></ul><p><b>
Preferred qualifications, capabilities, and skills</b></p><ul><li>
Strong background in Mathematics and Statistics</li><li>
Familiarity with the financial services industries</li><li>
Published research in areas of natural language processing, deep learning, or reinforcement learning at a major conference or journal</li><li>
Ability to develop and debug production-quality code</li><li>
Familiarity with continuous integration models and unit test development</li><li>
Published research in areas of natural language processing, speech recognition, reinforcement learning, or deep learning at a major conference or journal</li></ul><p>
#MLCOE_jobs</p><p><br>
</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><b>ABOUT US</b>
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J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</div></div></div>

2026 Machine Learning Center of Excellence (NLP)-Internship

Driftrock Limited

<div><p>Driftrock is hiring an Elixir Software Engineer to join our product team and help build the marketing technology that powers vehicle sales for some of the world's biggest car brands.</p>
Quick facts<ul><li><b>
Team:</b> Engineering</li><li><b>
Reports to:</b> Engineering Team Lead</li><li><b>
Location:</b> Remote, UK or abroad, with a few hours of daily UK overlap</li><li><b>
Contract:</b> Full time, permanent</li><li><b>
Salary:</b> &pound;45,000 to &pound;60,000, plus share options</li><li><b>
Start date:</b> As soon as we find the right person</li></ul>
Why this role exists<p>
Driftrock's product runs on a pragmatic Elixir and Phoenix LiveView stack, solving real marketing challenges for our B2B customers. As more of the world's biggest car brands come on board, we're growing our engineering team and the volume of data we process for them. Right now we're building lead qualification across communication channels and bringing it together in our Single Customer View, while optimising our event-driven architecture for growing workloads.</p><p>
You'll join a small, high-discipline squad, ship to production from your first weeks, and take on more scope and independence as you go, with real room to grow your craft and your career with us. We'll invest in your development, and you'll be working alongside engineers who care deeply about how they build and will help you raise your game.</p>
What you'll own<p>
You'll own the delivery of features within your squad, shipping well-tested, production-ready Elixir that moves our product and our customers' results forward, and growing your scope and independence as you go.</p>
Your first 90 days<ul><li><b>
By day 30:</b> you've found your feet in our codebase and domain, paired with the team, and shipped your first small changes to production.</li><li><b>
By day 60:</b> you're picking up features independently, writing well-tested code and taking an active part in technical and product discussions.</li><li><b>
By day 90:</b> you're a productive, trusted member of your squad, shipping regularly and starting to shape how we approach problems.</li></ul>
What you'll be doing<ul><li><b>
Build and ship product features</b> in Elixir and Phoenix LiveView, from idea through to production, several times a week.</li><li><b>
Write well-tested, maintainable code</b> using test-driven development, and take part in pairing and code reviews to keep quality high.</li><li><b>
Help shape the how and the why</b>, bringing your own viewpoint to technical and product discussions and to our roadmap.</li><li><b>
Work across our event-driven architecture</b>, building services that talk over APIs and RabbitMQ and handling a growing volume of customer data reliably.</li><li><b>
Use data and observability</b> to understand how your changes behave in production and whether they're delivering value for customers.</li><li><b>
Grow your craft</b>, learning from a team that cares about how it works, with a clear path toward senior over time.</li></ul>
What you'll bring<ul><li>
A solid foundation in computer science fundamentals, whether from a CS degree or equivalent demonstrable grounding in data structures, algorithms, complexity and how systems work under the hood.</li><li>
Some professional backend experience, ideally with Elixir or a similar language, and a genuine drive to deepen your Elixir skills.</li><li>
Some experience with web development, ideally server-rendered UI (we use LiveView with TailwindCSS).</li><li>
A habit of writing tested, maintainable code, and an interest in practices such as continuous delivery, TDD, pairing, code review and retrospectives.</li><li>
A data-driven mindset: you care whether the work genuinely helps customers, not just whether it ships.</li><li>
The judgement to use AI tools well: you use them to go faster, and your CS grounding means you can evaluate what they produce and steer away from suboptimal solutions rather than taking the output on faith.</li><li>
A desire to keep learning and growing, and to collaborate closely in a small team.</li></ul><p><b>
Bonus points</b></p><ul><li>
Production experience with Elixir, Erlang/OTP, Phoenix or LiveView.</li><li>
A background in Ruby or another functional language.</li><li>
Experience with event-driven systems, RabbitMQ, PostgreSQL or Redis.</li><li>
Exposure to Kubernetes or Google Cloud.</li></ul><p><i>
Not sure you tick every box? Please apply anyway.</i></p>
Why Driftrock<p>
Driftrock's mission is to become the world-leading automotive and e-mobility marketing software platform, and help accelerate the transition to clean transport.</p><p>
We work with some of the world's biggest brands, including BMW, BYD, Mercedes-Benz and Volvo, and partner with the world's leading platforms, including Meta, Google, mobile.de and Auto Trader.</p><p>
We've been building since 2013, and our work enables billions of euros in vehicle sales every year.</p><p>
We're a close, fully remote team of 35 people across engineering, design, customer success, performance and commercial, spread across the world.</p><p>
That means your work has a real, visible impact on our product, our culture and how we operate.</p><p>
We're at the cutting edge of marketing technology, with plenty of room to unlock value from data and to help speed up the shift to electric vehicles.</p><p>
How we work is shaped by four values:</p><ul><li><b>
We care:</b> about our team, our customers, and the people who see the marketing messages that we power. Work isn't done until we can prove it's useful to both the consumer and the customer.</li><li><b>
Be that person:</b> if something needs fixing, fix it. It's never someone else's problem.</li><li><b>
People-first:</b> we put people at the core of everything, and never compromise security or privacy for results.</li><li><b>
Be better today than you were yesterday:</b> we bake learning and continuous improvement into everything we do, for ourselves and our customers.</li></ul><p>
In practice, this looks like weekly Monday Showcases where we share what we're learning, regular retros, a budget to attend the courses and conferences that grow you, Donut coffee pairings to stay connected, and an annual company Summit that brings the whole global team together in person.</p>
What's in it for you<p>
We're remote-first and flexible about how and where you work, with co-working space available if you want it. Alongside your salary:</p><ul><li><b>
Share options</b> in Driftrock, on founder-friendly, tax-efficient EMI terms, including the option to retain vested options after leaving (at board discretion).</li><li><b>
Comprehensive Vitality health cover:</b> medical, dental, vision, hearing, mental-health support and therapy, cancer cover, a free Headspace subscription and Vitality rewards.</li><li><b>
24 to 28 days' holiday</b> (24 + 1 extra each year, capped at 28), plus bank holidays.</li><li><b>
Pension contributions, life assurance (3x salary) and income protection.</b></li><li><b>
Electric car salary-sacrifice scheme</b> (Octopus): save up to ~40%, with insurance, servicing and a charging perk included.</li><li><b>
Enhanced maternity and paternity leave.</b></li><li><b>
A learning budget</b> for books, courses and conferences, plus time for personal goals.</li><li><b>
Perks and discounts</b> via CharlieHR, and a BMW Group employee discount programme.</li></ul><p><b>
International team members:</b></p><p>
We're remote-first and hire globally. While some UK-specific benefits are delivered differently abroad, we strive for genuine parity. Wherever you are, the standard package includes a comprehensive health plan, pension contributions, paid time off including local bank holidays, share options, enhanced maternity and paternity leave, a learning budget, and our flexible working culture. International team members are employed compliantly via an Employer of Record (Remote.com).</p>
Our hiring process<ul><li>
A short intro call.</li><li>
A conversation with the hiring manager.</li><li>
A practical task based on real challenges, never unpaid spec work.</li><li>
A final conversation with the team.</li></ul>
Inclusion at Driftrock<p>
Driftrock is an equal-opportunity employer. We welcome applicants of every background, identity and life experience, and we're building a team that reflects the people our marketing reaches. We don't make decisions based on age, disability, gender, gender identity, marital status, race or ethnicity, religion or belief, or sexual orientation. If you need any adjustments to the application or interview process to do your best, just let us know, and we're glad to help.</p><p></p><p><b>
We will not be considering recruitment agencies for this role.</b></p><p>
By applying for this job you give us permission to store your data on our secure applicant tracking system and to contact you about Driftrock job opportunities. We process your data for recruitment purposes only and keep it until this role is filled, after which we will delete it or, with your agreement, keep it for similar future roles for up to 12 months. See our privacy policy at driftrock.com/privacy-policy for how we comply with GDPR, including how to access, correct, delete or restrict the data we hold. You can lodge a complaint with the UK supervisory authority (the Information Commissioner's Office), or contact our DPO for any concerns.</p></div>

Elixir Software Engineer

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