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Talan

<div>Company Description 
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). 
Job Description 
We are hiring a Lead Data Scientist to drive the technical delivery of our most demanding AI engagements and to lead a growing team of data scientists and AI engineers. This role is for a practitioner who is equally fluent in the rigour of traditional data science (statistical modelling, machine learning, experimentation) and the fast-moving world of large language models and agentic AI. You understand that the best solutions often combine both.
You will own delivery from problem framing through to deployment, ensuring the work is technically sound, commercially valuable, and aligned to the architectural vision. As a lead, you will mentor the team, raise engineering and modelling standards, and act as a trusted technical partner in client conversations. You will help clients see not just what is possible, but what is practical and worth doing.
This is a delivery-focused leadership role with genuine breadth: one week you might be tuning a forecasting model, the next designing an agentic workflow or evaluating an LLM pipeline for a client pilot.
Required skills &amp; experience:<ul><li>
Lead end-to-end delivery of data science and AI projects, owning technical quality and outcomes.</li><li>
Combine classical ML (regression, classification, forecasting, optimisation) with modern GenAI, LLM, and agent-based approaches as the problem demands.</li><li>
Mentor and develop data scientists, AI engineers, and junior consultants, growing the team's capability.</li><li>
Translate business problems into well-scoped analytical and AI solutions and communicate results to non-technical stakeholders.</li><li>
Ensure best practice across the AI lifecycle &mdash; experimentation, evaluation, testing, deployment, and monitoring.</li><li>
Act as the bridge between architecture and delivery, ensuring implementation stays faithful to design.</li><li>
Support pre-sales and client discussions with credible technical input and realistic estimation.</li><li>
Champion reproducibility, model governance, and responsible practice in everyday delivery.</li></ul> 

Qualifications 
To qualify for this role, you must have:
<ul><li>Minimum 5 years in data science or AI delivery, including hands-on leadership of technical teams or workstreams.</li><li>
Strong foundations in machine learning and statistics, with demonstrable production experience.</li><li>
Practical experience with LLMs and generative AI &mdash; prompting, RAG, fine-tuning, and evaluation.</li><li>
Exposure to AI agents and orchestration frameworks, and an appetite to deepen it.</li><li>
Proficiency in Python and the modern data / ML stack; sound data engineering instincts.</li><li>
Excellent communication and stakeholder skills, ideally in client-facing or consulting settings.</li></ul>
Ideally, you&rsquo;ll also have, but not essential:<ul><li>
Familiarity with the Azure AI ecosystem (Azure ML, Azure OpenAI, Databricks / Fabric).</li><li>
Experience supporting business development or pre-sales.</li><li>
Domain depth in a regulated or data-rich industry.</li><li>
Contributions to open source, publications, or a visible professional profile.</li></ul>
You must be:<ul><li>
Willing to work on client sites, potentially for extended periods.</li><li>
Willing to travel for work purposes and be happy to stay away from home for extended periods.</li><li>
Eligible to work in the UK without restriction.</li></ul>
#TalanUK #LI-HB1 
Additional Information 
Compensation &amp; Benefits Package:<ul><li>
BDP Plus &ndash; A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.</li><li>
25 days holiday + bank holidays.</li><li>
5 days holiday buy/sell option.</li><li>
Private medical insurance.</li><li>
Life cover.</li><li>
Cycle to work scheme.</li><li>
Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).</li><li>
Employee assistance programme.</li><li>
Bespoke online learning via Udemy for Business.</li></ul>
Why join:
You will lead substantive, end-to-end AI work in a practice that is scaling fast and backing its people to grow with it. You will shape how a team works, influence how clients adopt AI, and keep your own skills at the frontier, bridging proven data science with the most current GenAI and agentic techniques. It is an opportunity to lead, deliver, and keep building.</div>

Lead Data Scientist (Classical ML, LLMs & AI Agents)

NTT DATA

<div>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.
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.
For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA
Primary Responsibilities:
<ul><li>Client Engagement &amp; Delivery
</li><li>Data Pipeline Development (Batch and Streaming)
</li><li>Snowflake &amp; Cloud Data Platforms
</li><li>Data Architecture &amp; Modelling
</li><li>Collaboration &amp; Best Practices
</li><li>Quality, Governance &amp; Security 
</li></ul>Business Relationships:
<ul><li>Solution Architects
</li><li>Data Engineers, Developers, ML Engineers and Analysts
</li><li>Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership
</li></ul>Competencies / Critical Skills: 

<ul><li>Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms.
</li><li>Strong consulting values with ability to collaborate effectively in client-facing environments.
</li><li>Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.
</li><li>Strong problem-solving, analytical, and communication skills.
</li><li>Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions. 
</li></ul>Technical Expertise:
<ul><li>Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning).
</li><li>Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.
</li><li>Strong SQL and Python (or equivalent language) skills for data manipulation and automation.
</li><li>Hands-on experience with cloud platforms (AWS, Azure, GCP).
</li><li>Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).
</li><li>Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop).
</li><li>Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.
</li><li>Understanding of data governance, security, and compliance frameworks.
</li><li>Exposure to AI/ML workloads desirable. 
</li></ul>Experience, Qualifications, and Education:
<ul><li>Experience: Minimum 5&ndash;8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Snowflake.
</li><li>Education: University degree required.
</li><li>Preferred: BSc/MSc in Computer Science, Data Engineering, or related field
</li><li>Snowflake certifications (SnowPro Core, Advanced) highly desirable. 
</li></ul>Measures of Success:
<ul><li>Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.
</li><li>High client satisfaction and successful adoption of Snowflake-based solutions.
</li><li>Demonstrated ability to innovate and improve data engineering practices.
</li><li>Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.
</li></ul>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.
You can find more information about NTT DATA UK &amp; Ireland here: https://uk.nttdata.com/
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.
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. 
 
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.</div>

Snowflake Data Engineer

Christie's

<div>The Company 
Christie&rsquo;s, the world&rsquo;s largest Art Business, is an incredibly exciting &amp; enriching place to start or continue your career. Whether you work within one of our Specialist Art Departments, or in one of our more Operational teams, we are all working together with one common goal in mind: to continue the success of this 260 year old company, steeped in history, bringing fresh ideas whilst not forgetting our shared values: Integrity, Excellence, Innovation, Responsibility &amp; Relationships. Colleagues across all departments are truly passionate about what they do and it is inspiring to work with industry leaders across our business. 
Why This Role Matters 
The Salesforce Engineer will work closely with the Technical Lead, Product Manager and wider engineering teams to design, build, test and support Salesforce solutions. 
We are looking for a strong engineer who is excited to learn Salesforce, enjoys solving complex business problems, takes ownership of delivery, and wants to grow into a senior technical role over time. If you have solid engineering fundamentals, curiosity, and a track record of learning new technologies quickly, we'd love to hear from you. 
This role is ideal for an engineer with strong technical fundamentals who is looking to develop deep expertise on the Salesforce platform while contributing to large-scale enterprise transformation initiatives. 
The successful candidate will be a proactive problem solver who enjoys learning new technologies, taking ownership of technical delivery, and collaborating with both technical and business stakeholders. They will play an important role in implementing scalable, maintainable solutions while helping evolve technical standards, frameworks, and best practices across the Salesforce estate. 
How You'll Make an Impact 
Solution Delivery<ul><li>
Build, configure, test and deploy Salesforce solutions.
</li><li>Develop custom functionality using Salesforce platform technologies.
</li><li>Assist in the design and implementation of integrations with internal and external systems.
</li><li>Investigate and resolve technical issues across development, testing and production environments.
</li><li>Support ongoing enhancement and development of Salesforce applications.
</li><li>Participate in code reviews and technical design discussions.
</li></ul>Technical Ownership<ul><li>
Collaborate with BAs, Product Owners, Technical Leads and Architecture Team to take ownership of technical work items from refinement and design through to development and deployment.</li><li>
Work closely with the Technical Lead to understand architectural patterns and implementation standards.
</li><li>Contribute to technical documentation including solution designs, sequence diagrams and process flows.
</li><li>Help identify opportunities for automation, simplification and technical improvement.
</li><li>Participate in root cause analysis and continuous improvement activities.
</li></ul>Engineering Excellence<ul><li>
Follow established development standards, DevOps processes and coding best practices.
</li><li>Contribute to internal frameworks, reusable components and technical accelerators.
</li><li>Ensure solutions are maintainable, secure and scalable.
</li><li>Support testing activities and framework designs including unit, integration and user acceptance testing.</li><li>
Continuously develop knowledge of Salesforce and broader software engineering practices.</li><li>
Collaborate with broader teams across the Christies Technology space to grow your understanding and appreciation of the full development and application lifecycle. Supported exposure to considerations spanning teams such as Enterprise Architecture, Information Security, Data Privacy, Product Ownership, Application Support and others.</li></ul> 
What you&rsquo;ll bring to the team<ul><li> 
Educated to Degree Level preferably in Computer Science, Software Engineering, or other related subjects.</li><li>
Training and Certification in Salesforce technologies is an advantage</li><li>
2+ years experience in software engineering, platform engineering, or application development in Salesforce.</li><li>
Experience with at least one modern programming language (Java, C#, JavaScript, TypeScript, Python, Apex or similar).
</li><li>Understanding of software engineering fundamentals including:
</li></ul>o APIs
o Data modelling
o Version control
o Testing
o CI/CD concepts
o Object-oriented design
<ul><li>Understanding and ideally hands-on experience with core Salesforce technical competencies such as:</li></ul>
o Configuration based automation (flows, validation rules, formula fields, etc.)
o Apex trigger-based automation.
o Apex programming language.
o Salesforce specific object interface protocols such as SOQL and DML operations and associated best practices.
o UI/UX configurations including standard Salesforce UI components such as Flexipages and Layouts, as well as more complex or custom Lightning Web Component structures and designs.<ul><li>
Experience working within Agile delivery teams.
</li><li>Strong problem-solving and analytical skills.
</li><li>Excellent written and verbal communication skills.</li><li>
Able to provide accurate estimates and meet deadlines.</li><li>
Excellent interpersonal skills and strong abilities to develop and enhance relationships with stakeholders and peers</li><li>
Excellent written and verbal communication skills and ability to produce clear, concise, detailed documentation
</li><li>Flexible, pragmatic and professional approach, with ability to anticipate problems and work with incomplete information</li><li>
Able to perform under pressure</li><li>
Understanding of business drivers
</li><li>Good problem-solving skills</li></ul> 
What&rsquo;s great about working for us<ul><li>
25 days annual leave + 1 day Birthday leave
</li><li>Christie&rsquo;s Christmas office closure (guaranteed between 25th Dec &ndash; 1st Jan) &ndash; in addition to annual leave: almost two weeks to fully switch off and spend time with friends and family</li><li>
Additional 1 week&rsquo;s annual leave within the year of a 5-year anniversary i.e. 5th, 10th, 15th and so on</li><li>
Volunteering day: Take an additional day of annual leave to volunteer for a charitable organisation that&rsquo;s important to you</li><li>
Donation matching of up to &pound;500 per annum to help you support the organisations you care about</li><li>
Flexible Fitness Fund - &pound;400 per year expense allowance for health and wellness related activity (taxable)
</li><li>Access to world-renowned art: with regular exhibitions in our galleries to wander around and exclusive guided tours hosted by specialist colleagues</li><li>
Discretionary Bonus (dependent on the business and employee performance payable in March each year)
</li><li>Generous retirement plan: We will double match your pension contribution up to 5% of your basic salary (Max 10% contribution from Christie&rsquo;s)</li><li>
Private Health Insurance &ndash; no employee contribution needed, subsidised for other family members
</li><li>Dental Insurance &ndash; (may be extended at personal cost)
</li><li>Generous Income Protection Insurance in the event of accident, sickness or injury after 12 months</li><li>
Competitive Life Insurance policy from first day
</li><li>Employee Assistance Programme &ndash; access to personal advice and support services including counselling
</li><li>Eyecare vouchers (once a year)
</li><li>Cycle to Work scheme</li><li>
Christie&rsquo;s Extras &ndash; discounts on over 800 retailers, holiday packages, dinners and weekly shops</li><li>
Seniorcare by Lottie, a comprehensive eldercare solution
</li><li>Robust family first policy:</li></ul>
&Oslash; 16 weeks full pay on Maternity Leave
&Oslash; Eligible to return to work for 80% of your agreed normal weekly working pattern while being paid as though you were working 100%, post a minimum of 16 weeks of leave
&Oslash; Dependent back-up care: 10 sessions/ days of childcare or eldercare per year
&Oslash; Christies Family Network: Our community of parents who meet regularly over breakfasts, lunch, afternoon tea&hellip; 
 *Christie&rsquo;s reserves the right to change company benefits at any time
Closing Date: Sunday 12th July
#LI-Hybrid</div>

Salesforce Engineer

<div>Company Description 
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). 
Job Description 
As AI moves from experimentation to enterprise-wide adoption, doing it responsibly has become a commercial necessity, not just an ethical one. We are looking for a Responsible AI Specialist to ensure the solutions we design and the advice we give to clients are trustworthy, compliant, and fair by design. This is a role for someone who can translate principles (fairness, transparency, accountability) into practical frameworks that engineering teams and clients can actually apply.
You will be a connective figure across the practice: advising delivery teams on ethical and regulatory risk, contributing to client governance conversations, and helping shape the standards by which we build. You do not need to be a deep technical engineer, but you must understand how AI systems work, where they fail, and what good governance looks like in practice, particularly as regulation such as the EU AI Act reshapes expectations.
This is a growing area of strategic importance, offering significant scope to define our approach and to become a recognised voice in responsible AI.
Required skills &amp; experience:<ul><li>
Define and implement Responsible AI frameworks, policies, and practical guidelines across the practice.</li><li>
Advise project teams on ethical AI design, risk identification, and mitigation throughout the delivery lifecycle.</li><li>
Conduct AI risk and impact assessments, and embed fairness, transparency, and accountability into solutions.</li><li>
Contribute to client conversations on AI governance, risk, and regulatory readiness.</li><li>
Monitor evolving regulation (EU AI Act, ICO guidance, emerging standards) and translate it into actionable guidance.</li><li>
Support internal capability building, raising awareness and competence in responsible AI across teams.</li><li>
Partner with architects and data scientists to operationalise governance &mdash; model documentation, evaluation, and guardrails.</li></ul> 

Qualifications 
To qualify for this role, you must have:
<ul><li>Minimum 3 years in AI ethics, governance, policy, risk, compliance, or a closely related regulatory field.</li><li>
Sound understanding of AI concepts, risks, and failure modes (deep technical implementation not required).</li><li>
Working knowledge of relevant regulation and standards, including the EU AI Act.</li><li>
Strong stakeholder communication skills, able to engage both technical teams and senior business audiences.</li><li>
Ability to turn principles into pragmatic, usable frameworks and processes.</li></ul>
Ideally, you&rsquo;ll also have, but not essential:<ul><li>
Experience in consulting or advisory roles.</li><li>
Familiarity with assurance frameworks (ISO/IEC 42001, NIST AI RMF).</li><li>
Background in data protection, privacy, or model risk management.</li><li>
Exposure to fairness, bias, and explainability tooling.</li></ul>
You must be:<ul><li>
Willing to work on client sites, potentially for extended periods.</li><li>
Willing to travel for work purposes and be happy to stay away from home for extended periods.</li><li>
Eligible to work in the UK without restriction.</li></ul>
#TalanUK #LI-HB1 
Additional Information 
Compensation &amp; Benefits Package:<ul><li>
BDP Plus &ndash; A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.</li><li>
25 days holiday + bank holidays.</li><li>
5 days holiday buy/sell option.</li><li>
Private medical insurance.</li><li>
Life cover.</li><li>
Cycle to work scheme.</li><li>
Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).</li><li>
Employee assistance programme.</li><li>
Bespoke online learning via Udemy for Business.</li></ul>
Why join:
Responsible AI is central to how we earn client trust and differentiate our practice. You will have the rare chance to shape this capability from an influential position, combining ethics, regulation, and real delivery in work that genuinely matters. As adoption and scrutiny grow, so will your impact and your profile.</div>

Responsible AI Specialist (Governance, Ethics & Compliance)

legalandgeneral

<div>Company Description 
Legal &amp; General (L&amp;G) is a leading UK financial services group and major global investor.
We&rsquo;ve been safeguarding people&rsquo;s financial futures since 1836, and strive to build a better society, while improving the lives of our customers and creating value for shareholders.
We are one of the world&rsquo;s largest asset managers and provide powerful asset origination capabilities. Together, these underpin our retirement and protection solutions: we are an international player in pension risk transfer, in UK and US life insurance, and in UK workplace pensions and retirement income.
Who we are
Our Retail business supports customers throughout their lives, to help them save, plan, protect and enjoy retirement.
We&rsquo;re a leading provider of retirement and protection solutions. We aim to support our c.12.8 million policyholders and workplace members throughout their lifelong financial journeys.
We focus on helping the customers of today and tomorrow achieve better long-term outcomes. We either talk with them directly or work with intermediaries and employers to meet their needs. We use the latest technology to connect with them quickly, efficiently and wherever possible in highly personalised ways. 
Job Description 
We are seeking a Senior Software Engineer to join a high‑performing engineering team delivering robust, scalable, and high‑quality software solutions. In this role, you will apply your technical expertise and strategic mindset to design and build new features, resolve complex issues, address technical debt, and continually improve engineering practices. You will play a key role in shaping how the team works and ensuring we deliver meaningful value and excellent outcomes for our customers.
What you'll be doing:<ul><li>
Building clean, maintainable features and resolving end‑to‑end issues by evaluating multiple approaches to deliver effective, high‑quality customer outcomes</li><li>
Ensuring solutions are fit for purpose, deliver business value, meet quality standards, and align with established engineering practices</li><li>
Contributing to the strategy and management of technical debt to maintain secure, resilient, and reliable systems</li><li>
Defining and supporting test approaches and strategies that prioritise security, usability, accessibility, and overall customer experience</li><li>
Reviewing code with a focus on functional and non‑functional requirements, including performance, resilience, maintainability, and security</li><li>
Promoting continuous inspection and adaptation to improve team effectiveness, culture, and ways of working</li><li>
Coaching and mentoring engineers to foster collaboration, mutual respect, engagement, and ongoing skill development</li><li>
Researching emerging technologies and sharing knowledge to improve solutions, while championing fair treatment of customers and stakeholders</li></ul>
Who we're looking for:<ul><li>
Hands‑on experience building and supporting large, production‑grade backend systems using Java/JVM technologies (Java 17+/Kotlin) and JVM Spring or Node.js&ndash;based REST microservices</li><li>
Strong proficiency in JavaScript and TypeScript, including working with Angular or related frameworks from either a web or backend‑leaning background</li><li>
Deep understanding of clean code, clean architecture, and layered backend designs (e.g. three‑tier, hexagonal, onion), with the ability to align engineering choices to business goals such as scalability, quality, and maintainability</li><li>
Solid knowledge of database composition and SQL, alongside experience designing APIs and an understanding of web, API, and distributed cloud security best practices</li><li>
Proven ability to deliver well‑optimised, maintainable software features; analyse and resolve complex technical problems; and contribute high‑quality, actionable feedback through code reviews</li><li>
Strong practitioner of test‑driven development and the testing pyramid, with experience working in Agile/Scrum environments using Git, Git Flow, and CI/CD pipelines</li><li>
Excellent English communication skills, with the ability to work effectively in teams, facilitate technical discussions and workshops, and ensure alignment toward shared goals</li><li>
Demonstrates sound decision‑making, process thinking, and mentoring capability, holds accountability for outcomes, and takes ownership of continuous learning and team capability development</li></ul>
Whatever your role, we reward performance and behaviour with a package that looks after all the things that are important to you. Here are some of the benefits we offer:<ul><li>
The opportunity to participate in our annual, performance -related bonus plan and valuable share schemes</li><li>
Generous pension contribution</li><li>
Life assurance</li><li>
Healthcare Plan (permanent employees only)</li><li>
At least 25 days holiday, plus public holidays, 26 days after 2 years&rsquo; service. There&rsquo;s also the option to buy and sell holiday</li><li>
Competitive family leave</li><li>
Participate in our electric car scheme, which offers employees the option to hire a brand-new electric car through tax efficient salary sacrifice (permanent employees only)</li><li>
There are the many discounts we offer &ndash; both for our own products and at a range of high street stores and online</li><li>
We&rsquo;re creating net‑zero carbon workplaces by 2030 by investing in our sustainable, modern offices across the UK, all designed to bring people together and elevate the in‑person experience</li></ul> 

Additional Information<div></div> 
At L&amp;G, we believe it's possible to generate positive returns today while helping to build a better future for all.
If you join us, you&rsquo;ll be part of a welcoming, inclusive culture, with opportunities to collaborate with people of diverse backgrounds, views, and experiences. Guided by leaders with integrity who care about your future and wellbeing. Empowered through initiatives which support people to develop their careers and excel.
We care passionately about outcomes rather than attendance and are therefore open to discussing all kinds of flexible working options including part-time, term-time and job shares. Although some roles have limited flexibility due to customer demand, we accommodate requests when we can.
It doesn&rsquo;t matter if you don&rsquo;t meet every single criterion in this advert. Instead, think about what you excel at and what else you can bring in terms of strengths, potential and connection to our purpose.</div>

Senior Software Engineer (Java)

HOMETRACK

<div>Hometrack is redefining the mortgage journey for lenders, brokers, and consumers by delivering market-leading valuation and property data services to the financial, property, and technology industries. Our key commercial and go-to-market segment is in financial services, primarily mortgage lenders, including nine of the top 10 mortgage providers.
At Hometrack, we are looking for an experienced Senior Machine Learning Engineer, to translate POC model code from data science and analytics into robust pipelines and live APIs.
Responsibilities:<ul><li>
Oversee the deployment of machine learning models into production, ensuring they perform well in real-world conditions and monitoring their performance over time.</li><li>
Work closely with data scientists, software engineers, product managers, and stakeholders to integrate machine learning solutions into our products and services.</li><li>
Develop automated workflows for model retraining, testing, and deployment to streamline the machine learning lifecycle.</li><li>
Advocate for and implement best practices in software engineering, including code reviews, continuous integration, and continuous delivery (CI/CD) for machine learning models.</li></ul>
Requirements:<ul><li>
Strong understanding of machine learning applications, development life cycle processes and tools: CI/CD, version control, testing frameworks, MLOps.</li><li>
Strong Python experience and knowledge, with the ability to write stable, scalable and maintainable code.</li><li>
Experience with data science Python libraries such as Sckit-learn, Pandas, NumPy, PyTorch, PySpark, LightGBM.</li><li>
Have worked with a cloud service, such as AWS.</li><li>
Familiarity developing Infrastructure as code (e.g Terraform, cloudformation).</li><li>
Have some experience with data engineering, building data pipelines with PySpark, SQL (E.g in Databricks, Glue) to power machine learning applications.</li><li>
Comfortable working with Docker and containerised applications.</li><li>
Experience leveraging AI native engineering tooling.</li><li>
Passion for building products that meet customer needs and business objectives.</li><li>
Strong sense of responsibility and a track record of delivering high-quality results in a fast-paced environment.</li></ul> 

Benefits 
<ul><li>
Everyday Flex - greater flexibility over where and when you work</li><li>
25 days annual leave + extra days for years of service</li><li>
Day off for your birthday, house move, good deed day, and digital detox day</li><li>
Cycle to work and electric car schemes
</li><li>Free Calm App membership
</li><li>Enhanced Paternity Leave
</li><li>Fertility Treatment Financial Support
</li><li>Group Income Protection and private medical insurance</li><li>
Gym on-site in London &ndash; or membership in regional offices</li><li>
7.5% pension contribution by the company</li><li>
Discretionary annual bonus up to 10% of base salary</li><li>
Talent referral bonus up to &pound;5K</li></ul></div>

Senior Machine Learning Engineer

JPMorganChase

<div>JOB DESCRIPTION 
 
 
<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>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.
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.
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.
Job responsibilities<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>
Required qualifications, capabilities, and skills<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>
Preferred qualifications, capabilities, and skills<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>
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</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>ABOUT US
 
 
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. 
<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

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