data engineer

data scientist

senior data scientist

senior data engineer

analytics engineer

data science consultant

Capgemini

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Data Science Senior Consultant / Senior Consultant</b></h2>
</div><div><p>At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.</p><br>
<p></p><p>In a world of globalisation and constant innovation organisations are creating, consuming, and transforming unprecedented volumes of data. We endeavour to work alongside our clients to extract and leverage key insights driven by our Data Science and Analytics expertise and capabilities. It&rsquo;s an exciting time to join our Data Science Team as we grow together to keep up with client demand and launch offerings to the market. In your role, you will partner with our clients to deliver outcomes through the application of cutting-edge data science methods.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>YOUR ROLE</b></h2>
</div><div><p>In this position you will play a key part in:</p>
<ul><li>Supporting and leading the delivery of our Agentic &amp; Gen AI, Data Science and Analytics projects and working closely with your colleagues, ensure Client expectations are met at all stages.</li>
<li>Inspiring our clients on exploiting the potential of Agentic &amp; Gen AI, data science and analytics in their businesses through demonstrations.</li>
<li>Developing and deploying new skills in the fields of AI, Data Science and Analytics, with support from your colleagues, to ensure that current methods are used where appropriate.</li>
<li>Delivering work in a structured, efficient manner, balancing creativity with practicality, while collaborating effectively with your team to meet client standards and internal quality expectations at pace.</li>
</ul><p>As part of your role, you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:</p>
<p><b>Business Development &ndash;</b> Contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.</p>
<p><b>Internal contribution &ndash;</b> Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events &amp; activities), offering development.</p>
<p><b>Learning &amp; development &ndash;</b> Training to support your career development and the skills demand within the company, certifications etc.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>YOUR PROFILE</b></h2>
</div><div><p>We&rsquo;d love to meet someone with:</p>
<ul><li>Experience in working within the fields of Agentic &amp; Gen AI, Data Science and Analytics in a client-facing environment, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies.</li>
<li>Keen to demonstrate the potential that Agentic &amp; Gen AI has to offer to unlock business value.</li>
<li>A desire to provide solutions to the real-world issues and challenges with data that our clients face regularly. Strong stakeholder management and presentation skills, with experience in enabling clients to better understand and derive better value and insights from their data.</li>
<li>Currently working in a Consulting firm, and/or in industry.</li><br>
</ul><p><br>
Your Technical Expertise:
</p><ul><li>Architectural and/or feature knowledge of one or more of the listed Data and AI Platforms: Google Cloud Platform, Amazon Web Services, Microsoft Azure, and Databricks.</li>
<li>Experience in one or more of the listed Languages such as: Python, R, PySpark</li>
<li>Experience in one or more of the following Agentic &amp; Gen AI Platforms: such as Microsoft Copilot Studio, Adept AI, UiPath, OpenAI GPT-5 Agents, Orby AI, and Beam AI.</li>
</ul><p>Eligibility:</p>
<p>Due to security clearance requirements, there is a strong preference for candidates who have resided in the UK for more than 5 years.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>WHAT YOU'LL LOVE ABOUT WORKING HERE</b></h2>
</div><div><p>Data Science Consulting brings an inventive quantitative approach to our clients&rsquo; biggest business and data challenges to unlock tangible business value by delivering intelligent data products and solutions through rapid innovation leveraging AI. We strive to be acknowledged as innovative and industry leading data science professionals and seek to achieve this by focusing on three area of the data science lifecycle:</p><br>
<p></p><p>Exploring the art of the possible with AI by combining domain knowledge and AI expertise to identify opportunities across industries and functions where AI can deliver value and by shaping AI/ML roadmaps, and ideation using use cases aligned with data science and business strategies.</p>
<p>Accelerating impact with AI by enabling proof of value through prototypes and by translating complex AI concepts into practical solutions that democratise access and maximise business advantage for our clients.</p>
<p>Scaling AI from lab to live by defining and implementing responsible AI design principles throughout the AI journey and establishing sustainable, resilient, and scalable AI/ML Ops architectures and platforms for integrating AI products and solutions into business processes for real-time decision making.</p><br>
<p></p><p>We are delighted to have received the &ldquo;Glassdoor Best Places to work UK&rsquo; accolade for 5 consecutive years, to see what it&rsquo;s like to work at Capgemini Invent, visit our Glassdoor page</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>NEED TO KNOW</b></h2>
</div><div><p>At Capgemini we don&rsquo;t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work.</p><br>
<p></p><p>We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.</p><br>
<p></p><p>Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained &lsquo;Mental Health Champions&rsquo; across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>WE ARE A DISABILITY CONFINDENT EMPLOYER</b></h2>
</div><div><p>Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government&rsquo;s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:</p>
<ul><li>Declare they have a disability, and</li>
<li>Meet the minimum essential criteria for the role.</li>
</ul><p>Please opt in during the application process.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>CSR</b></h2>
</div><div><p>We&rsquo;re also focused on using tech to have a positive social impact. So, we&rsquo;re working to reduce our own carbon footprint and improve everyone&rsquo;s access to a digital world. It&rsquo;s something we&rsquo;re really serious about. In fact, we were even named as one of the world&rsquo;s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you&rsquo;ll join a team that does the right thing.</p><br>
<p></p><p>Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.</p><br>
<p></p><p>We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>ABOUT CAPGEMINI</b></h2>
</div><div><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.</p></div></div></div></div></div></div></div>

Data Science Senior Consultant

Claims Recruitment Services Limited

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>23/06/2026</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Permanent</b><b>
</b></div></div><div><p>Industry</p>
<div><b>Insurance</b><b>
</b></div></div><div><p>City</p>
<div><b>London</b><b>
</b></div></div><div><p>Province</p>
<div><b>London</b><b>
</b></div></div><div><p>Country</p>
<div><b>United Kingdom</b><b>
</b></div></div><div><p>Postal Code</p>
<div><b>N/A</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><p>We are recruiting for a Data Scientist on behalf of one of the UK's fastest-growing technology consultancies, ranked in the Financial Times FT1000 Europe's Fastest-Growing Companies list in both 2025 and 2026.</p><p><br>
This is a genuinely compelling opportunity for a Data Scientist who wants their work to mean something. Our client is a fast-growing, values-driven consultancy working at the heart of the UK's most critical public sector programmes, spanning cyber security, national security, law enforcement, and telecommunications. As a Data Scientist, you will tackle complex, high-stakes data challenges for government clients, applying advanced data science and machine learning techniques to help organisations make faster, more accurate, and better-informed decisions where it really counts.</p><p><b><br>
Key Responsibilities</b></p><br>
<ul><li>
Leading client projects and providing subject matter expertise, including pitches and presentations.<br>
</li><li>
Working in scrum-like environments for iterative, fail-fast work and innovation.<br>
</li><li>
Assessing clients' business and technical needs, identifying opportunities for data science and managing stakeholder relationships appropriately.<br>
</li><li>
Identifying relevant data sources and working with various forms of data, including unstructured, semi-structured, and structured formats, modelling them appropriately for efficient data science use.<br>
</li><li>
Investigating and analysing data to identify meaningful insights, applying statistical and evidence-based techniques to inform actions.<br>
</li><li>
Communicating technical content clearly to both internal teams and clients, presenting a compelling narrative of the data using data science tooling.<br>
</li><li>
Building maintainable code using existing data science libraries, implementing established techniques or developing novel approaches as required.<br>
</li><li>
Designing, evaluating, and implementing on-premises, cloud-based, and hybrid data science and machine learning techniques and algorithms, including testing, risk identification, and mitigation.<br>
</li><li>
Developing scalable models and algorithms suitable for production deployment.<br>
</li><li>
Applying ethical principles in handling data.</li></ul><p><b><br>
Key Requirements</b></p><br>
<ul><li>
5+ years of degree-level industry experience in data science, with a background in a STEM subject.<br>
</li><li>
Experience working in a consultancy, engineering, or data industry.<br>
</li><li>
Experience leading client delivery across data science, data engineering, and data security projects, with proven Python skills applied to data science.<br>
</li><li>
Experience working on cloud-based infrastructure such as AWS, Azure, or GCP.<br>
</li><li>
Knowledge of CI / CD tooling to analyse, build, test, and deploy code.<br>
</li><li>
Experience in database technologies including SQL, NoSQL such as Elasticsearch, and graph databases.<br>
</li><li>
Solid understanding of coding best practices, design patterns, versioning, dependency management, code quality, optimisation, error handling, logging, monitoring, and alerting.<br>
</li><li>
Demonstrable continuous personal development and strong interpersonal skills.</li></ul><p><br>
If you enjoy untangling complex data problems, thrive in uncertain environments, and want to be part of a team that is agile, collaborative, and genuinely daring, this is an opportunity worth exploring. You will have the chance to lead from the front, shape the future of a fast-growing business, and do work that has real, lasting impact on the security and resilience of the UK.</p><p><br>
To learn more, please get in touch.</p><p><br>
Due to the nature of the clients and projects supported by this role, all candidates must be British nationals and eligible to obtain UK Security Clearance (SC). Candidates holding dual nationality or multiple passports are unfortunately unable to be considered for this position.</p><div></div><div><i><br>
We do not retain any personal information without your permission. Please refer to our data protection policy on our official website for more information.</i></div></div></div></div><p></p>

Data Scientist

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Capgemini Invent</b></h2>
</div><div><p>At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Your Role</b></h2>
</div><div><p>You will be joining, the Industrial Data &amp; AI squad of the Digital Engineering team in Invent. As a Managing Consultant, you&rsquo;ll help set the direction and contribute to driving forward the business thanks to data-driven insights.</p>
<p>You&rsquo;ll be designing state-of-the-art architectures leveraging data &amp; AI to improve your clients&rsquo; operations and help them deliver sustained profitability, efficiency, quality and behavioural change improvements. To assist you in your work, you will be able to collaborate with colleagues from other parts of Capgemini such as Engineering, Frog, Cambridge Consultants to develop comprehensive propositions for improving our client&rsquo;s business.</p>
</div></div><div></div><div><div><p>As part of your role you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:</p><br>
<p></p><ul><li><b>Business Development </b>&ndash; Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.</li>
<li><b>Internal Contribution</b> &ndash; Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events &amp; activities), offering development.</li>
<li><b>Learning &amp; Development</b> &ndash; Training to support your career development and the skills demand within the company, certifications etc.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Your Profile</b></h2>
</div><div><p>Our ideal candidate will bring a combination of the following skills and experience:</p>
<ul><li>Experience in python programming language and SQL.</li>
<li>Experience in Data &amp; AI cloud microservices AWS and Azure. Experience with Data &amp; AI platforms: Cognite Data Fusion, C3 AI, Hexagon, Palantir is beneficial.</li>
<li>At least one cloud architecture certification i.e. TOGAF, Cloud platform certifications (AWS, Azure), Databricks or other similar.</li>
<li>Experience in working within the fields of Data Science and Analytics, with a proven track record of successfully delivered work across the ML lifecycle.</li>
<li>Experience with Large Language Models architectures and techniques: AI-agents, GraphRAGs, fine-tuning, semantic grounding.</li>
<li>A desire to provide solutions to the real-world issues and challenges with data that our clients face regularly.</li>
<li>Domain-specific knowledge of asset management from one or more of the following: Automotive, Aerospace and Defence, Utilities, Energy, Construction, FMCG and Life Sciences is beneficial.</li>
<li>Have strong analytical and problem-solving skills and the ability to work effectively within the team.</li>
<li>Have effective and clear communication skills both written and verbal.</li>
<li>Strong stakeholder management and presentation skills, with experience in enabling clients to better understand and derive better value and insights from their data.</li><br>
</ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>What You'll Love About Working Here</b></h2>
</div><div><p>We offer unique training opportunities to help you grow and develop your career. Some of our consultants even get the chance to attend our flagship conference at Les Fontaines near Paris, France, a truly inspiring experience that connects you with colleagues from around the world.</p><br>
<p><br>
Beyond formal training, collaboration is at the heart of what we do. Our teams make time to support one another, share knowledge, and work together to deliver exceptional results.<br>
</p><p></p><p>We are delighted to have received the &ldquo;Glassdoor Best Places to work UK&rsquo; accolade for 4 consecutive years, to see what it&rsquo;s like to work at Capgemini Invent, visit our Glassdoor page</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Need To Know</b></h2>
</div><div><p>At Capgemini we don&rsquo;t just believe in Diversity &amp; Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring you whole self to work.</p>
<p>We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.</p>
<p>Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.</p>
<p>To help support wellbeing we have trained &lsquo;Mental Health Champions&rsquo; across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>CSR</b></h2>
</div><div><p>We&rsquo;re also focused on using tech to have a positive social impact. So, we&rsquo;re working to reduce our own carbon footprint and improve everyone&rsquo;s access to a digital world. It&rsquo;s something we&rsquo;re really serious about. In fact, we were even named as one of the world&rsquo;s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you&rsquo;ll join a team that does the right thing.</p>
</div></div><div></div><div><div><p>Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.</p><br>
<p></p><p>We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>About Capgemini</b></h2>
</div><div><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>We are a Disability Confident Employer</b></h2>
</div><div><p>Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government&rsquo;s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:</p><br>
<div><br>
<ul><li>Declare they have a disability, and
</li><li>Meet the minimum essential criteria for the role.
</li></ul></div><p>Please opt in during the application process.</p></div></div></div></div></div></div></div>

Digital Engineering - Industrial Data & AI Managing Consultant

Sagacity

<div>
 <p>
  As a Data Scientist within the Analytics Team, you will contribute to data-driven strategies for our clients. Working closely with the Data &amp; Analytics Manager and senior colleagues, you will deliver data science projects and collaborate with stakeholders across data strategy, sales, account management, delivery and marketing.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You will bring solid technical skills and commercial awareness to deliver data solutions that drive measurable operational performance. This is a hands-on role - ideal for someone who thrives on translating data into actionable insight and producing high-quality outcomes.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a Data Scientist within the Analytics Team, you will contribute to data-driven strategies for our clients.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Deliver data science projects, from problem definition through to actionable insights and presentation of results
  </li>
  <li>
   Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes
  </li>
  <li>
   Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources and formats
  </li>
  <li>
   Translate complex analyses into clear, commercially relevant recommendations for clients and internal stakeholders
  </li>
  <li>
   Work with client teams to identify analytical opportunities, support marketing strategy, and quantify the impact of data-driven decision-making
  </li>
  <li>
   Support pre-sales and client engagement, helping to demonstrate the value of data insight
  </li>
  <li>
   Follow best practices in data science, reproducible research, and ethical AI
  </li>
  <li>
   Collaborate cross-functionally to enhance the company&rsquo;s products and marketing data solutions
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   2+ years&rsquo; experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy
  </li>
  <li>
   Educated to degree level (postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP)
  </li>
  <li>
   Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering
  </li>
  <li>
   Strong command of SQL and familiarity with data engineering environments such as Databricks or similar
  </li>
  <li>
   Skilled in data visualisation and storytelling using tools such as Power BI, Tableau, Plotly, or Sigma
  </li>
  <li>
   Demonstrated ability to translate technical findings into strategic recommendations for non-technical audiences
  </li>
  <li>
   Commercially aware, with proven success in applying analytics to solve business problems
  </li>
  <li>
   Strong communicator; able to engage stakeholders and present findings with clarity and confidence
  </li>
  <li>
   Self-motivated, organised, and proactive, with the ability to manage multiple priorities and stakeholders in a fast-paced environment
  </li>
  <li>
   Willing to travel across the UK for client engagements
  </li>
  <li>
   Must have the right to work in the UK and a commitment to ongoing professional development
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Regular iteration on our machine learning methodologies, tools, and frameworks
  </li>
  <li>
   Consistent demonstration of technical excellence and commercial insight in all project deliverables
  </li>
  <li>
   Measurable contribution to the enhancement of Sagacity&rsquo;s data science and analytics product suite
  </li>
 </ul>
</div>


Kinarden Search

<div>
 <p>
  An exciting opportunity has arisen within a global consultancy's new and growing Data Science and AI team working on a range of machine learning, analytics and model validation projects.
 </p>
 <p>
  This role will suit individuals with experience in data science, machine learning or applied AI who are looking to work across a variety of complex business and technology challenges.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The opportunity:
  </strong>
 </p>
 <ul>
  <li>
   Developing and validating machine learning models
  </li>
  <li>
   Supporting the review and assessment of AI and data science solutions
  </li>
  <li>
   Working with large and complex datasets to generate meaningful insights
  </li>
  <li>
   Collaborating with technical and non-technical stakeholders
  </li>
  <li>
   Contributing to the development of innovative AI and analytics capabilities
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key requirements:
  </strong>
 </p>
 <ul>
  <li>
   Strong Python skills (essential)
  </li>
  <li>
   Experience developing and validating machine learning models
  </li>
  <li>
   Knowledge of machine learning frameworks and statistical modelling techniques
  </li>
  <li>
   Exposure to LLMs, Generative AI or Agentic AI
  </li>
  <li>
   Experience with cloud platforms such as Azure or AWS desirable
  </li>
  <li>
   Strong communication and stakeholder management skills
  </li>
 </ul>
 <p>
 </p>
</div>


XPS Group

<div>
 <strong>
  Location:
 </strong>
 London
 <br/>
 <br/>
 <strong>
  Employment Type:
 </strong>
 Permanent, Full Time
 <br/>
 <br/>
 <strong>
  Grade:
 </strong>
 Senior Associate/ Consultant
 <br/>
 <br/>
 Hybrid
 <br/>
 <br/>
 REQ003340
 <br/>
 <br/>
 <strong>
  About XPS Group
  <br/>
  <br/>
 </strong>
 XPS Group is a prominent and growing UK consultancy and administration firm within the pensions and insurance sectors. As a FTSE 250 company with over 2000 employees, we leverage expertise alongside advanced technology to serve over 1,400 pension schemes and their sponsors. Our goal is to foster a workplace where diverse talents thrive.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Our Data Analytics business continues to grow, and we are now looking for an experienced and technical MLOps Engineer to join our vibrant London office with hybrid working. This is an exciting role and would most likely suit someone with previous experience in a similar role where they have gained knowledge and experience of designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. You must have good technical knowledge of Phyton, SQL, CI/CD and familiar with Power BI.
 <br/>
 <br/>
 XPS Analytics is a specialist and multi-disciplinary team consisting of actuaries, data scientist and developers. Our role in this mission is to pioneer advancements in the field of pensions and beyond, leveraging state-of-the-art technology to extract valuable and timely insights from data. This enables the consultant to better advise Trustees and Corporate clients on a wide range of actuarial-related areas.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Model development: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings.
  </li>
  <li>
   Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines.
  </li>
  <li>
   Data Management and Preprocessing: Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality.
  </li>
  <li>
   Software Development: Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review.
  </li>
  <li>
   Work closely with actuarial analysts, actuarial modelling team (AMT) and other colleagues in XPS to integrate data science findings into practical advice and strategies.
  </li>
  <li>
   Stay abreast of new trends and technologies in Data Science technologies and pensions to identify opportunities for innovation.
  </li>
  <li>
   Provide training and support to other team members on using machine learning tools and understanding analytical techniques.
  </li>
  <li>
   Interpret and explain machine learning concepts and findings to other members of the analytics team and non-technical stakeholders within XPS.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Essential
  <br/>
  <br/>
 </strong>
 <strong>
  Your Profile:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments.
  </li>
  <li>
   Experience in data wrangling using Python, SQL and ADF.
  </li>
  <li>
   Experience in CI/CD and DevOps/MLOps and version control.
  </li>
  <li>
   Familiarity with data visualization and reporting tools, ideally PowerBI.
  </li>
  <li>
   Good written and verbal communication and interpersonal skills. Ability to convey technical concepts to non-technical stakeholders.
  </li>
  <li>
   Experience in the pensions or similar regulated financial services industry is highly desirable.
  </li>
  <li>
   Experience in working within a multidisciplinary team would be beneficial
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 Enjoy a competitive salary, annual discretionary bonus, and 25 days&rsquo; holiday with buy/sell flexibility. Benefits include pension matching, healthcare plans, life assurance, and retailer discounts. We support our team with a flexible benefits scheme, employee assistance, and digital GP service. Participating in volunteering events is encouraged with paid volunteer days available. Referral bonuses are offered for introducing suitable candidates to XPS.
 <br/>
 <br/>
 <strong>
  How To Apply
  <br/>
  <br/>
 </strong>
 Interested candidates should submit applications via Apply Now option or contact recruitment@xpsplc.com for more information. Join XPS Group and contribute to a dynamic and inclusive workplace.
 <br/>
 <br/>
 <strong>
  Equal Opportunities Statement
  <br/>
  <br/>
 </strong>
 XPS Group is committed to diversity and equal opportunities. We welcome applications from all candidates, irrespective of sex, race, disability, sexual orientation, religion, or belief. As a Disability Confident employer, we ensure accessible and supportive work settings for all employees.
 <br/>
 <br/>
 <strong>
  Eligibility
  <br/>
  <br/>
 </strong>
 Any employment offer made will be conditional upon you satisfying DBS Disclosure checks, Employment or educational references, Satisfactory credit checks and eligibility to work in the UK before an offer can be made. XPS Group is not able to provide sponsorship to employees.
 <br/>
 <br/>
 <strong>
  Who Are We
  <br/>
  <br/>
 </strong>
 To find out more please visit: www.xpsgroup.com
</div>


MLOps Engineer

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>23/06/2026</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Permanent</b><b>
</b></div></div><div><p>Industry</p>
<div><b>Insurance</b><b>
</b></div></div><div><p>City</p>
<div><b>London</b><b>
</b></div></div><div><p>Province</p>
<div><b>London</b><b>
</b></div></div><div><p>Country</p>
<div><b>United Kingdom</b><b>
</b></div></div><div><p>Postal Code</p>
<div><b>N/A</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><p>We are recruiting for a <b>Software Engineer Consultant </b>on behalf of one of the UK's fastest-growing technology consultancies, ranked in the Financial Times FT1000 Europe's Fastest-Growing Companies list in both 2025 and 2026.</p><p><br>
Our client works where technology meets national importance. As a trusted partner to UK government agencies across cyber security, national security and telecoms, they deliver data-driven solutions to some of the most complex and consequential challenges in the public sector.</p><p><br>
Joining as a Software Engineer Consultant, you will have real ownership of technical delivery, working side by side with clients to architect and build software that has tangible, lasting impact.</p><p><b><br>
Key Responsibilities</b></p><br>
<ul><li>
Collaborating with clients to understand their software engineering needs and objectives.<br>
</li><li>
Designing, developing, testing, and implementing high-quality software solutions using industry best practices and coding standards.<br>
</li><li>
Utilising your expertise in various programming languages, frameworks, and technologies to architect robust and scalable systems.<br>
</li><li>
Developing secure, clean, efficient, and well documented code, ensuring quality through testing, debugging, and reviews.<br>
</li><li>
Staying up to date with the latest trends, tools, and technologies in software engineering and sharing your knowledge with the team.<br>
</li><li>
Collaborating with project managers to ensure successful project delivery within the defined timelines and budget.<br>
</li><li>
Supporting client engagements, including pitches and presentations.</li></ul><p><b><br>
Key Requirements</b></p><br>
<ul><li>
Bachelor's degree in computer science, software engineering, or related field.<br>
</li><li>
Professional experience as a software engineer, preferably in a consultancy or industry setting.<br>
</li><li>
Experience with multiple programming languages, including Python, Java, C++, Rust, or Go.<br>
</li><li>
Experience with associated software development frameworks and tools such as pytest and OpenAPI.<br>
</li><li>
Experience working in Unix / Linux environments.<br>
</li><li>
Knowledge of database systems and proficiency in database query languages / tools.<br>
</li><li>
Familiarity with software development methodologies such as Agile or Scrum, in particular iterative approaches to software development in conjunction with the client.<br>
</li><li>
Experience with cloud platforms such as AWS, Azure or Google Cloud.<br>
</li><li>
Familiarity with DevOps practices and principles, such as CI / CD pipelines, containerisation (e.g. Docker) and associated orchestration.</li></ul><p><br>
This is a genuinely exciting opportunity to join a dynamic, values-driven consultancy at a pivotal point in its growth, where your voice matters, your work has real national impact, and your development is actively invested in.</p><p><br>
Due to the nature of the clients and projects supported by this role, all candidates must be British nationals and eligible to obtain UK Security Clearance (SC). Candidates holding dual nationality or multiple passports are unfortunately unable to be considered for this position.</p><div><i><br>
We do not retain any personal information without your permission. Please refer to our data protection policy on our official website for more information.</i></div></div></div></div><p></p>

Software Engineer Consultant

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