Machine Learning/Data Engineer

£700-750/day overall assignment rate to umbrella

Fully remote

3-6 month initial

Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With 40% of sales from sustainable products, this is a company that combines scale, innovation and purpose.

As a Machine Learning Engineer, you’ll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal if you excel at investigating and debugging complex data flows and ML issues in live production environments.

We’re looking for individuals with:

Experience: Proven background as a Machine Learning Engineer.

Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib).

Data transformation & manipulation : experience with Airflow, DBT and Kubeflow

Cloud: Experience with GCP and Vertex AI (developing ML services).

Expertise: Solid understanding of computer science fundamentals and time-series forecasting.

Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning).

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.

TPBN1_UKTJ

Position: Gen AI Lead
Location: London, UK (Hybrid 2 days onsite a week)
Duration: Full Time

Job Description:
Core AI/ML Foundations:
o Strong foundational knowledge in GenAI, Machine Learning (ML modelling), Data Science, Statistics, and AI fundamentals, including Natural Language Processing (NLP), Neural Networks, and Large Language Models (LLMs).

Generative AI & LLM Expertise:
o Extensive hands-on experience with leading LLMs such as Google Gemini, OpenAI models, Anthropic Claude, Mistral, Llama, and various other open-source LLMs.
o Critical: Deep working knowledge and hands-on experience with Retrieval-Augmented Generation (RAG) pipelines, including advanced RAG techniques and their detailed implementation.
o Proven ability to build, tune, and deploy LLM-based applications using platforms like Vertex AI, Hugging Face, etc.
o Expertise in developing robust prompt engineering strategies, prompt tuning, and creating reusable prompt templates.
o Hands-on experience with agentic framework-based use case implementation.
o Working knowledge of Guardrails and methodologies for assessing the performance and safety of GenAI features.

Programming & Data Engineering:
o Strong programming proficiency in Python is a must, including extensive experience with libraries such as Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, Seaborn, LangChain, and LlamaIndex.
o Proficiency in integrating generative AI with enterprise applications using APIs, knowledge graphs, and orchestration tools.
o Hands-on experience with various vector databases (eg, PG Vector, Pinecone, Mongo Atlas, Neo4j) for efficient data storage and retrieval.
o Experience in dealing with large amounts of unstructured data and designing solutions for high-throughput processing.

Deployment & MLOps:
o Critical: Hands-on experience deploying GenAI-based models to production environments.
o Strong understanding and practical experience with MLOps principles, model evaluation, and establishing robust deployment pipelines.
o Strong expertise in CI/CD principles and tools (eg, Jenkins, GitLab CI, Azure DevOps, ArgoCD) for automated builds, testing, and deployments.

Cloud & Containerization:
o Proven experience with container orchestration platforms like OpenShift or Kubernetes for deploying, managing, and scaling containerized applications in a cloud-native environment.

Soft Skills:
o Strong problem-solving abilities, excellent collaboration skills for working effectively with cross-functional teams, and the capability to work independently on complex, ambiguous problems.

Senior AI/ML Engineer Shaping AI for individuals and business London (Hybrid, 3 days/week) Up to £120k + 10% bonus + £20k equity

We’re building AI that actually matters. AI is at the centre of every business, what you’re working on is HOW it’s used powering personalised apprenticeship learning at scale for some of the world’s most ambitious organisations and individuals looking to better themselves. As a Senior AI/ML Engineer at Multiverse, you won’t just ship models. You’ll own the full lifecycle, influence our product roadmap, and leave a tangible mark on how people develop their careers.

This is a role for someone who’s done real AI work inside a high-calibre engineering organisation and worked closely with product.

What you’ll do Design and deploy LLM/RAG systems (GPT, Claude, Gemini) powering content generation, semantic search, and personalised learning experiences

Build Knowledge Graph capabilities to underpin agentic workflows

Own the end-to-end ML lifecycle from raw data and experimentation through to production deployment and continuous evaluation

Lead MLOps infrastructure on AWS , building robust pipelines for training, monitoring, and retraining

Bridge technical AI work with business strategy you’ll have a seat at the table when product direction is set

Enable and upskill colleagues across the organisation, making AI tangible and accessible

What we’re looking for You’ve built and deployed ML/LLM systems in production. Not just fine-tuned a model in a notebook you’ve taken it to real users, measured it, and iterated.

You’ve done this inside organisations that take engineering seriously. Whether that’s a top-tier tech company, a defence/intelligence-grade AI startup, or a fast-scaling data-led business you know what good looks like and you hold yourself to it.

Your foundations are strong. A degree in Computer Science, AI, or a closely related field from a leading university is a great indicator, though it’s your depth of applied expertise that matters most.

Technically, you bring:

Python fluency (NumPy, Pandas, Scikit-Learn, PyTorch) and solid TypeScript/API skills

Hands-on experience with LLMs prompt engineering, evaluation, RAG architectures, safety considerations

Cloud-native development on AWS and practical MLOps: CI/CD for models, version control, observability, retraining pipelines

Familiarity with LangChain, Terraform, and modern AI tooling (Cursor, Gemini) is a strong plus

Experience with both structured and unstructured data, including preprocessing and feature engineering

Stack: Python PyTorch LangChain AWS SQL Terraform CI/CD MLOps

Base salary: Up to £120,000

Bonus: 10%

Equity: worth £20,000

Flexibility: Hybrid (3 days London office) + 10 days work-from-anywhere per year

Interview process 3 stages. Straightforward, respectful of your time.

TPBN1_UKTJ

Description

Data Scientist

Location: Bristol, occasional travel to customer and Leidos sites may be required

We’re ready for you to unleash your potential!

Role Overview:

We are seeking a Data Scientist to join us on a permanent basis. You will apply advanced analytical, statistical, and machine‑learning techniques to support major UK Government programmes and the wider enterprise, working across multidisciplinary teams throughout the UK.

You will collaborate with delivery managers, engineers and architect stakeholders to design, develop, and operationalise data‑driven solutions that deliver meaningful impact. This role offers the opportunity to deepen your expertise, contribute to high‑value projects, and help shape the analytical capability within one of the strongest teams in the business.

Your Responsibilities Will Include:

• Designing, developing, and validating statistical models and machine‑learning solutions
• Conducting exploratory data analysis and feature engineering to uncover insights and support decision‑making
• Working closely with data engineers to ensure high‑quality, scalable data pipelines for modelling
• Translating analytical findings into clear, actionable recommendations for technical and non‑technical audiences
• Supporting the development of analytical roadmaps, risk identification, and mitigation planning
• Contributing to the operationalisation and monitoring of models in production environments

Required Skills:

• Experience in data science, machine learning, or applied analytics
• Proficiency in Python and common ML libraries (pandas, NumPy, scikit‑learn, TensorFlow, PyTorch)
• Experience designing, training, and evaluating machine‑learning models
• Solid understanding of statistical methods, predictive modelling, and experimental design
• Experience working in an agile delivery environment
• Strong problem‑solving skills and attention to detail

Desired Skills:

• Ability to communicate analytical concepts clearly to non‑technical stakeholders
• Experience working with large or complex datasets, including data cleansing and feature engineering
• Experience with cloud‑based ML services (AWS SageMaker, Azure ML, Databricks)
• Familiarity with MLOps practices and model lifecycle management
• Experience with NLP, deep learning, or computer vision
• Knowledge of data visualisation tools (Power BI, Tableau)
• Exposure to big‑data technologies (Spark, Hadoop)
• AWS certifications
• Experience supporting government or highly regulated environments

Clearance Requirements:

• Clearance to Start BPSS
• Clearance for Role SC
• Applicants must have (or be able to obtain) SC clearance

Leidos UK! Join our team and discover a culture of collaboration, innovation, diversity, trust, caring management, communication transparency, work-life balance, and overall job satisfaction…

What we do for you:
At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance.
We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes:
•    Contributory Pension Scheme
•    Private Medical Insurance
•    33 days Annual Leave (including public and privilege holidays)
•    Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme)

•    Flexible Working Scheme

Commitment to Diversity:

We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture.  We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone.  If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs.

Who We Are:

Leidos UK & EUROPE – we work to make the world safer, healthier, and more efficient through technology, engineering and science.

Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation.

What Makes Us Different:

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world.  You can inspire change.

Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team.  We have been empowering our people to work flexibly for years.  Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours.

People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future.

If you’re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We’re not hiring followers. We’re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We’re already at step 30 — and moving faster than anyone else dares.

Original Posting:

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

£47,600.00-£61,000.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That’s why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Front End React Developer!

Are you ready to dive into the exciting world of insurance technology? We are on the lookout for a passionate and proactive Junior Front End React Developer to become a vital part of our clients London based team!

The Role:
In this pivotal position, you will focus on designing and implementing new front-end technology for their automation platform while also assisting with backend implementations. This is your chance to shine and create innovative solutions to complex challenges!

What Will You Be Doing?

Develop and maintain front-end components of their workflow automation platform using cutting-edge web technologies.
Collaborate closely with the team to enhance Python back-end functionality, ensuring a seamless user experience.
Assist in designing, implementing, and testing new features.
Participate in code reviews and contribute to best practises for software development.
Troubleshoot and resolve issues for optimal performance and user satisfaction.
Work alongside modellers and analysts to translate their needs into technical solutions.
Present your innovative solutions confidently to key stakeholders.

We’re Looking For Someone Who Has:

Proficiency in front-end technologies (e.g., JavaScript, React).
Strong skills in Python (Pandas, APIs, etc.).
Experience with version control systems, preferably Git.
Understanding of cloud services and deployment (e.g., Azure).
Familiarity with Agile development practises.
An entrepreneurial mindset!

The package:

Competitive Salary: 45,000 - 60,000 per annum.
Flexible Working: Enjoy the benefits of hybrid working but you will need be in the office 3 days a week in central london
Health Benefits: Comprehensive health insurance for you and your family.
Wellness Perks: Gym membership, wellbeing support, and a bike-to-work scheme.
Financial Benefits: Pension contribution matching, employee discounts, and a season ticket loan.
Growth Opportunities: Paid training and development to help you grow in your career!
Your Journey Starts Here!
If you’re excited about this opportunity and think you have what it takes, don’t hesitate to apply!

Join us, and be a part of shaping the future of reinsurance! Your adventure awaits!

Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law.

Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.

By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

My client is a fast-growing UK business serving thousands of customers. They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment.

This is a hands-on role combining technical ownership and production-grade model deployment.

The Role

As Senior Data Scientist, you will:

• Own end-to-end ML solutions -from problem framing and feature engineering to deployment, monitoring, and governance
• Translate business objectives into modelling strategies aligned to risk appetite and operational constraints
• Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent)
• Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions
• Establish monitoring frameworks for performance, drift, and retraining
• Drive clear documentation, traceability, and governance appropriate for a regulated environment

This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance.

Essential Experience

• Proven commercial ML/Data Science delivery with measurable impact
• Experience taking models into production and managing performance over time
• Prior experience leading or mentoring Data Scientists
• Strong Python (pandas, numpy, scikit-learn or similar)
• Strong SQL (complex joins, aggregations, analytical functions)
• Solid grounding in applied statistics, evaluation design, calibration, bias/fairness
• Experience working closely with Engineering/Data teams in production-first environments
• Comfortable operating within regulated industries

Desirable

• AWS experience (S3, Athena/Glue, IAM, Lambda)
• SageMaker or equivalent ML platform experience
• Financial services domain knowledge (risk, fraud, affordability, payments)
• Experience with model explainability and governance documentation

Package & Benefits

• Hybrid working model
• Competitive pension
• Additional paid leave (birthday, charity, wellbeing, life events)
• Employee assistance programme & Virtual GP
• Modern collaborative office environment

Interested? Please Click Apply Now!Senior Data Scientist

Company Overview

We are working with an innovative organisation that recognises the increasing complexity of project delivery. Since 2013, our client has been helping companies of all sizes improve the way projects are delivered.

Their mission is to become the number one provider of innovative project solutions, driven by a community of experienced, caring, and passionate professionals who are committed to improving project delivery.

Why Join Our Client?

Our client is currently in an exciting phase of growth, making this an excellent time to join their journey.

They are building something special-scaling the business while maintaining a strong people-first approach. Investment in their teams is a key priority, creating an environment where development is encouraged and individuals are supported to grow with the organisation.

Their culture sets them apart from other consulting practices, and they are looking to build a team that is equally ambitious.

Position Overview

Our client is seeking a Senior Data Engineer who thrives on building scalable, cloud-first data systems.

In this role, you will design and manage data pipelines that support analytics, AI, and automation across complex infrastructure programmes. Your work will play a key part in enabling data-driven transformation across critical UK industries.

Core Responsibilities

Design, build, and optimise data pipelines using Azure Data Factory, Synapse, and Databricks
Develop and maintain ETL/ELT workflows to ensure high data quality and reliability
Collaborate with analysts and AI engineers to deliver robust and reusable data products
Manage data lakes and warehouses using formats such as Delta Lake and Parquet
Implement best practices for data governance, performance, and security
Continuously evaluate and adopt new technologies to evolve the organisation’s data platform
Provide technical guidance to junior engineers and contribute to team capability building

Technical Stack

Core:

Azure Data Factory
Azure Synapse Analytics
Azure Data Lake Storage Gen2
SQL Server
Databricks

Enhancements:

Python (PySpark, Pandas)
CI/CD (Azure DevOps)
Infrastructure as Code (Terraform, Bicep)
REST APIs
GitHub
ActionsDesirable:

Microsoft Fabric
Delta Live Tables
Power BI dataset automation
DataOps practices

What You’ll Bring

Professional experience in data engineering or cloud data development
Strong understanding of data architecture, APIs, and modern data pipeline design
Hands-on experience within Microsoft’s Azure ecosystem, with an interest in emerging technologies such as Fabric, AI-enhanced ETL, and real-time data streaming
Proven ability to lead technical workstreams and mentor junior team members
A strong alignment with the organisation’s IDEAL values: Integrity, Drive, Empathy, Adaptability, and Loyalty

Ready to Apply?

This is a fantastic opportunity to join a forward-thinking organisation at a key stage of growth, working on impactful projects across critical industries.

If you’re looking to take the next step in your career within a collaborative and innovative environment, we’d love to hear from you

Raytheon UK have a full time, permanent opportunity for a Data Engineer to join our team on our Manchester, Gloucester or London sites working onsite. Our Data Engineering role will be responsible for building and maintaining data processing pipelines and also the transformation and optimisation of data for analytical use. As Data Engineer, you'll be part of our experienced software dev function, working in a cross-functional Agile team. We have opportunities for Data Engineers at every level within a team, so upon reviewing your application we will discuss the great opportunities for development or challenges we offer based off your professional profile. Due to the interesting work we do and the sector this team is working in, we require all candidates to hold current eDV clearance. Responsibilities Build data pipelines that clean, transform, and aggregate data from disparate sources Collaborate with stakeholders and other engineers Contribute to the completion of milestones associated with your project Contribute to continuous improvement within your team Collaborate with your peers on technical direction within your team Required Skills and Experience Strong analytic skills related to working with unstructured datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging / Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services) SQL and NoSQL databases and storage (HDFS, Iceberg, Elastic, S3, Data Lake) Containerisation and orchestration (Docker / Kubernetes / Openshift) Testing frameworks and best practices We appreciate you may not be an expert in every area above - we can support with training and development in some areas! Please do make an application and we will identify where we can best support your growth specific to your application. TPBN1\_UKTJ

Company Overview

We are working with an innovative organisation that recognises the increasing complexity of project delivery. Since 2013, our client has been helping companies of all sizes improve the way projects are delivered.

Their mission is to become the number one provider of innovative project solutions, driven by a community of experienced, caring, and passionate professionals who are committed to improving project delivery.

Why Join Our Client?

Our client is currently in an exciting phase of growth, making this an excellent time to join their journey.

They are building something special-scaling the business while maintaining a strong people-first approach. Investment in their teams is a key priority, creating an environment where development is encouraged and individuals are supported to grow with the organisation.

Their culture sets them apart from other consulting practices, and they are looking to build a team that is equally ambitious.

Position Overview

Our client is seeking a Senior Data Engineer who thrives on building scalable, cloud-first data systems.

In this role, you will design and manage data pipelines that support analytics, AI, and automation across complex infrastructure programmes. Your work will play a key part in enabling data-driven transformation across critical UK industries.

Core Responsibilities

• Design, build, and optimise data pipelines using Azure Data Factory, Synapse, and Databricks
• Develop and maintain ETL/ELT workflows to ensure high data quality and reliability
• Collaborate with analysts and AI engineers to deliver robust and reusable data products
• Manage data lakes and warehouses using formats such as Delta Lake and Parquet
• Implement best practices for data governance, performance, and security
• Continuously evaluate and adopt new technologies to evolve the organisation’s data platform
• Provide technical guidance to junior engineers and contribute to team capability building

Technical Stack

Core:

• Azure Data Factory
• Azure Synapse Analytics
• Azure Data Lake Storage Gen2
• SQL Server
• Databricks

Enhancements:

• Python (PySpark, Pandas)
• CI/CD (Azure DevOps)
• Infrastructure as Code (Terraform, Bicep)
• REST APIs
• GitHub
• Actions

Desirable:

• Microsoft Fabric
• Delta Live Tables
• Power BI dataset automation
• DataOps practices

What You’ll Bring

• Professional experience in data engineering or cloud data development
• Strong understanding of data architecture, APIs, and modern data pipeline design
• Hands-on experience within Microsoft’s Azure ecosystem, with an interest in emerging technologies such as Fabric, AI-enhanced ETL, and real-time data streaming
• Proven ability to lead technical workstreams and mentor junior team members
• A strong alignment with the organisation’s IDEAL values: Integrity, Drive, Empathy, Adaptability, and Loyalty

Ready to Apply?

This is a fantastic opportunity to join a forward-thinking organisation at a key stage of growth, working on impactful projects across critical industries.

If you’re looking to take the next step in your career within a collaborative and innovative environment, we’d love to hear from you.

A high-growth institutional trading business in the digital assets market is expanding its London team and hiring a Quant Developer to join its OTC pricing function. This is a great opportunity to join a successful firm adding headcount as it continues to grow, and to work on highly visible quantitative systems that sit at the core of pricing, hedging and liquidity decisions. The role offers a rare blend of quantitative research partnership and hands-on production engineering, making it ideal for someone who enjoys solving real market problems in a fast-paced trading environment.

THE ROLE: Quant Developer OTC Pricing

This is a senior-level quant development role within the OTC pricing team, focused on turning quantitative ideas into robust, production-grade trading and pricing solutions. The successful candidate will work very closely with quantitative researchers, contributing not only to implementation but also to the design and refinement of pricing and liquidity models.

The role combines research-oriented modelling in Python with production engineering in Java. You will use Python to analyse data, test ideas and support model development, while using Java to build and enhance high-performance pricing infrastructure used in a live, global trading environment.

You will be involved in the development of pricing logic, flow analysis, spread optimisation and automated hedging tools. The role also includes working on distributed systems challenges in a 24/7 multi-region environment, where reliability, consistency and performance are critical. This is a high-impact position for someone who enjoys applying quantitative thinking to real trading and pricing problems at scale.

KEY RESPONSIBILITIES: Quant Developer OTC Pricing

• Build and enhance quantitative pricing, hedging and optimisation models within a high-performance Java framework
• Work alongside quantitative researchers to analyse large datasets and translate research into production-ready solutions
• Use Python for model prototyping, data analysis, signal investigation and backtesting activity
• Develop and improve pricing skew, spread and liquidity optimisation logic
• Design and implement automated hedging strategies, taking into account execution risk, liquidity and market impact
• Support pricing system deployment across distributed, multi-region architecture with a focus on uptime and consistency
• Analyse client trading behaviour, including flow quality, decay and pricing performance, to support more effective pricing decisions
• Contribute to the ongoing evolution of tools and systems used in a live institutional trading environment

REQUIRED - SKILLS/EXPERIENCE: Quant Developer OTC Pricing

• Strong Java development experience, ideally 5+ years
• Deep understanding of object-oriented design, concurrency, and high-performance distributed systems
• Proficient in Python; Including use of libraries such as NumPy, SciPy and Pandas for quantitative analysis and prototyping
• Proven experience applying numerical optimisation techniques and/or machine learning methods to pricing, trading or market-related problems
• Prior experience in client pricing, electronic trading, or a closely related quantitative trading environment
• Exposure to liquid markets such as FX, equities, ETFs or crypto
• Strong academic background in a quantitative discipline such as Mathematics, Physics or Quantitative Finance
• Ability to operate effectively in a role that bridges quantitative modelling and production engineering

DESIRABLE - SKILLS/EXPERIENCE: Quant Developer OTC Pricing

• Familiarity with low-latency system optimisation, such as GC tuning or tools/frameworks used in high-performance messaging environments
• Understanding of derivatives pricing and risk management, particularly across products such as futures, forwards, NDFs and CFDs
• KDB+/Q
• Exposure to AWS, Docker and Kubernetes

AI Engineer - Greenfield AI Project - Leeds (Hybrid) Up to £35,000 My client is seeking Graduates with 18 months+ commercial software experience with an interest in AI, ideally some exposure through personal projects or commercial exposure.

ABOUT THE CLIENT

Due to continued growth, we’re recruiting on behalf of an established Leeds-based software house embarking on a greenfield AI project. This is an opportunity to join at the very start of a new AI function, working closely with senior engineers to shape intelligent products from the ground up.

The organisation has a strong engineering culture, modern tech stack, and a track record of delivering scalable software solutions across multiple sectors.

THE BENEFITS

* Hybrid working from their Leeds office * Dedicated learning and development budget * Mentoring from experienced AI and Software Engineers * Clear progression pathway as the AI capability grows * Exposure to real-world AI deployment in production environments

THE AI ENGINEER ROLE

As an AI Engineer, you’ll join a collaborative engineering team working on the design and development of AI-driven features within a brand-new platform. This is a hands-on role where you’ll contribute to model development, data processing pipelines, and integration of AI services into production systems.

You’ll work closely with software engineers, product teams, and stakeholders to help translate business requirements into scalable AI solutions. Given the greenfield nature of the project, you’ll have genuine influence on tooling, frameworks, and best practice from day one.

AI ENGINEER - ESSENTIAL SKILLS

* Degree in Computer Science, Data Science, AI, or similar * Around 18 months’ commercial experience in a software or AI-focused role * Ideally strong Python development skills * Experience working with data processing and APIs * Understanding of machine learning fundamentals * Familiarity with version control (Git) and Agile environments

TO BE CONSIDERED:

Please either apply through this advert or email me directly via . For further information please call me on 0113 887 8355 / 07441 348 209. By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.

KEY SKILLS

AI, Python, Machine Learning, Software Engineering, Data, APIs, Cloud, Agile, Python, TensorFlow, PyTorch, Scikit-learn, XGBoost, NLTK, OpenAI, LangChain, Pandas, NumPy, MLflow, Kubeflow, Docker, Kubernetes, Azure Machine Learning, Google Vertex AI

TPBN1_UKTJ

Location: Bristol, Swansea, Leeds, Nottingham, Newcastle, Oldham, Birmingham or Yeading. Salary: £44,241 per annum Vacancy Type: Permanent Closing date: Tuesday 31st March 2026 Do you thrive on curiosity, innovation and adaptability? Are you genuinely excited about delving into data, whether new or existing, and harnessing the power of advanced statistical tools and techniques such as machine learning, predictive analytics, and computational vision? Is transforming data into practical insights that drive operational and strategic decisions across DVSA something that fires your enthusiasm? Are you committed to using data ethically and responsibly? If this sounds like you, your next career move could be right here! As a Senior Data Scientist, you'll play a pivotal role in shaping analytical models that guide DVSA's future. For example, you will design, develop and maintain forecasting models in Python that predict service demand, as well as innovative risk models that help us allocate frontline resources more effectively. You'll also champion the ongoing professional growth of our talented data science team, sharing your expertise in the latest techniques and tools. Joining our department comes with many benefits, including: \* Employer pension contribution of 28.97% of your salary. \* 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave), plus 8 bank holidays a privilege day for the King's birthday \* Flexible working options where we encourage a great work-life balance. Job description Your responsibilities will include, but aren't limited to: \* Conceptualising and developing high-impact data science solutions. \* Writing and reviewing code using best practices from software development. \* Further developing and maintaining existing risk and demand models. \* Apply your ingenuity to analyse diverse data sets with cutting-edge statistical methods, from machine learning to predictive analytics, using Python. \* Identify trends and patterns, turning them into actionable insights that support the development and improvement of services. \* Presenting your findings to a wide range of stakeholders, from senior leaders to operational staff. \* Explore and visualise data to uncover valuable insights \* Offer recommendations that solve complex problems and empower strategic and operational decision making \* Uphold the highest standards of ethical and appropriate data use Your impact will be felt in the continual refinement of demand forecasting, predictive modelling to track performance against key targets, and the creation of risk models that ensure our resources are used where they matter most. We're looking to fill two exciting Senior Data Scientist roles: one role sits within our MOT team, focusing on service analytics, risk modelling and fraud detection; the other sits within our brand-new Innovation Team, where you'll help shape and validate groundbreaking Innovation use cases. Great line management is important to us as an organisation, and we will equip and support line managers to develop the skills they need. We aim to empower line managers to create teams where people can flourish and deliver excellent outcomes for the public. For further information on the role, please read the attached role profile. Please note that the role profile is for information purposes only - whilst all elements are relevant to the role, they may not all be assessed during the recruitment process. This job advert will detail exactly what will be assessed during the recruitment process. Person specification Required Experience: \* Developing and deploying AI and data science solutions to tackle business challenges at pace. \* Inferring, predicting or forecasting using appropriate machine learning techniques. \* Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation. \* Quantitatively evaluating data science and AI solutions using novel designs and data sets. \* Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP). \* Continually promoting professional development and sharing best practices. \* Presenting and communicating products and findings to a wide range of stakeholders, from senior leaders to operational staff. \* Considering ethics and data protection principles when developing AI and data science solutions (e.g. GDPR, use of ethics frameworks etc). \* Strong programming skills, with experience in Python (or similar experience with a desire to develop Python skills) \* Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). \* A high level of competence in applied maths, statistics and scientific methods. \* Clear written and verbal communication. \* Ability to work autonomously on data science projects and as part of the team. To Apply If you feel you are a suitable candidate and would like to work for DVSA, please proceed through the following link to be redirected to our website to complete your application. https://www.civilservicejobs.service.gov.uk/csr/index.cgi?SID=dXNlcnNlYXJjaGNvbnRleHQ9MTc3OTA1MzUyJnNlYXJjaHBhZ2U9MSZqb2JsaXN0X3ZpZXdfdmFjPTE5OTAwODkmcGFnZWFjdGlvbj12aWV3dmFjYnlqb2JsaXN0Jm93bmVyPTUwNzAwMDAmc2VhcmNoc29ydD1jbG9zaW5nJm93bmVydHlwZT1mYWlyJnBhZ2VjbGFzcz1Kb2JzJnJlcXNpZz0xNzczMjI5MzU4LWY3YjRhMTZlZGE5MTUwMjRlMGMzNWQzNWI5NmMzMGQ2ZTNkYWY2ZGU=

Duration: 14 Months

Location: London, UK (3 days in office)

Active SC Clearance required

Inside IR35 - Umbrella only

About the Role:

• We are seeking a highly skilled and versatile Senior Developer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Developer will be responsible for both front-end and back-end development, with a focus on Python, including the challenging but rewarding task of reverse engineering an existing codebase to integrate new features and improvements. This role requires a strong understanding of software development principles, experience with various programming languages and frameworks, and a passion for building high-quality, scalable, and maintainable software. Drive the development of MVPs, ensuring timely delivery and alignment with business goals.

Key Responsibilities:

Full-Stack Development:

• Contribute to both front-end and back-end development of applications and APIs interacting with the Azure Databricks platform.
• Develop user interfaces using modern front-end frameworks (e.g., React, Angular, Vue.js) and ensure a seamless user experience.
• Develop robust and efficient back-end services and APIs using Python.

Python Development:

• Develop and maintain Python code for data processing, API development, and integration with the Azure Databricks environment.
• Utilise relevant Python libraries and frameworks (e.g., Flask, Django, Pandas, NumPy).
• Collaborate with cross-functional teams to build and enhance banking applications
• Work closely with UI/UX Designers to integrate visualizations seamlessly into web applications or other platforms
• Work on data interfaces to connect various systems within the bank.
• Write unit and integration tests to ensure code quality and reliability.

.NET Development (Optional): Develop and maintain .NET code for back-end services, APIs, and integrations with other systems.

• Utilise relevant .NET frameworks and technologies (e.g., ASP.NET Core, C#, Entity Framework).
• Write unit and integration tests to ensure code quality and reliability.

Reverse Engineering:

• Analyse and understand existing codebases (potentially Python) to identify areas for improvement, bug fixes, and new feature implementation.
• Document findings and create clear specifications for changes.
• Implement changes while maintaining the stability and functionality of the existing system.

Join us to work on impactful projects, utilise cutting-edge tech, and be part of a collaborative team shaping public sector innovation. Apply now to make a difference!

Location: Erskine, Scotland (Hybrid 2/3 days per week in the office)
Candidates must be eligible for clearance.

DXC Technology (NYSE: DXC) is a leading independent, end-to-end IT services company, helping organisations harness innovation to thrive through change. Serving nearly 6,000 private and public sector clients across 70 countries, DXC combines technology independence, global talent, and an extensive partner network to deliver next-generation IT services and solutions.

We are proud to be recognised globally for corporate responsibility and inclusive workplace practices.

The Role

Are you passionate about bringing machine learning solutions into real-world production environments? Do you enjoy collaborating with others to build scalable, reliable systems?

We are looking for a Machine Learning Ops Engineer to join our growing team. This role is ideal for someone who enjoys solving complex problems, working cross-functionally, and continuously developing their technical expertise in a supportive environment.

If you dont meet every single requirement listed below, we still encourage you to apply. We value potential, curiosity, and a willingness to learn.

What Youll Be Doing

• Deploying, monitoring, and scaling machine learning models in production.
• Collaborating with data scientists, engineers, and stakeholders to integrate AI solutions into scalable products.
• Supporting the full ML lifecycle, from experimentation to deployment and optimisation.
• Applying best practices in data engineering and contributing to architectural decisions.
• Using modern MLOps tools and CI/CD approaches to improve reliability and efficiency.
• Contributing to a culture of knowledge-sharing and continuous improvement.

Technical Experience

Were looking for experience in many of the following areas:

• Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn.
• Experience with frameworks such as TensorFlow, Keras, or PyTorch.
• Exposure to gradient boosting tools such as XGBoost, LightGBM, or CatBoost.
• Experience with model deployment tools (e.g., ONNX, TensorRT, TensorFlow Serving, TorchServe).
• Familiarity with ML lifecycle tools such as MLflow, Kubeflow, or Azure ML Pipelines.
• Experience working with distributed data processing (e.g., PySpark) and SQL.
• Understanding of software engineering best practices, including version control (Git).
• Knowledge of CI/CD principles in ML environments.
• Experience with cloud-native ML platforms is advantageous.

What Were Looking For

• A collaborative mindset and strong communication skills.
• A thoughtful, structured approach to problem solving.
• A commitment to continuous learning and professional growth.
• The confidence to contribute ideas while valuing diverse perspectives.

Why Join Us?

• Work on meaningful AI projects with real-world impact.
• Join a supportive, forward-thinking team that values inclusion and diverse perspectives.
• Access structured learning, mentoring, and career development opportunities.
• Flexible hybrid working arrangements.
• A workplace culture that supports wellbeing and work-life balance.

What We Offer

• Competitive salary.
• Pension scheme.
• DXC Select comprehensive benefits package including private medical insurance, gym membership, and more.
• Perks at Work discounts on technology, groceries, travel and more.
• DXC incentives recognition tools, employee lunches, and regular social events.

Ready to Shape the Future of AI?

We are committed to building diverse teams and creating an inclusive environment where everyone can thrive. If this role excites you, wed love to hear from you.

Apply today and bring your skills, perspective, and ambition to a team that values innovation, collaboration, and growth.

Location: Bristol, Swansea, Leeds, Nottingham, Newcastle, Oldham, Birmingham or Yeading.

Salary: £44,241 per annum

Vacancy Type: Permanent

Closing date: Tuesday 31st March 2026

Do you thrive on curiosity, innovation and adaptability?

Are you genuinely excited about delving into data, whether new or existing, and harnessing the power of advanced statistical tools and techniques such as machine learning, predictive analytics, and computational vision?

Is transforming data into practical insights that drive operational and strategic decisions across DVSA something that fires your enthusiasm?

Are you committed to using data ethically and responsibly?

If this sounds like you, your next career move could be right here!

As a Senior Data Scientist, you ll play a pivotal role in shaping analytical models that guide DVSA s future. For example, you will design, develop and maintain forecasting models in Python that predict service demand, as well as innovative risk models that help us allocate frontline resources more effectively. You ll also champion the ongoing professional growth of our talented data science team, sharing your expertise in the latest techniques and tools.

Joining our department comes with many benefits, including:

• Employer pension contribution of 28.97% of your salary.
• 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave), plus 8 bank holidays a privilege day for the King s birthday
• Flexible working options where we encourage a great work-life balance.

Job description

Your responsibilities will include, but aren t limited to:

• Conceptualising and developing high-impact data science solutions.
• Writing and reviewing code using best practices from software development.
• Further developing and maintaining existing risk and demand models.
• Apply your ingenuity to analyse diverse data sets with cutting-edge statistical methods, from machine learning to predictive analytics, using Python.
• Identify trends and patterns, turning them into actionable insights that support the development and improvement of services.
• Presenting your findings to a wide range of stakeholders, from senior leaders to operational staff.
• Explore and visualise data to uncover valuable insights
• Offer recommendations that solve complex problems and empower strategic and operational decision making
• Uphold the highest standards of ethical and appropriate data use

Your impact will be felt in the continual refinement of demand forecasting, predictive modelling to track performance against key targets, and the creation of risk models that ensure our resources are used where they matter most.

We re looking to fill two exciting Senior Data Scientist roles: one role sits within our MOT team, focusing on service analytics, risk modelling and fraud detection; the other sits within our brand-new Innovation Team, where you ll help shape and validate groundbreaking Innovation use cases.

Great line management is important to us as an organisation, and we will equip and support line managers to develop the skills they need. We aim to empower line managers to create teams where people can flourish and deliver excellent outcomes for the public.

For further information on the role, please read the attached role profile. Please note that the role profile is for information purposes only - whilst all elements are relevant to the role, they may not all be assessed during the recruitment process. This job advert will detail exactly what will be assessed during the recruitment process.

Person specification

Required Experience:

• Developing and deploying AI and data science solutions to tackle business challenges at pace.
• Inferring, predicting or forecasting using appropriate machine learning techniques.
• Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation.
• Quantitatively evaluating data science and AI solutions using novel designs and data sets.
• Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP).
• Continually promoting professional development and sharing best practices.
• Presenting and communicating products and findings to a wide range of stakeholders, from senior leaders to operational staff.
• Considering ethics and data protection principles when developing AI and data science solutions (e.g. GDPR, use of ethics frameworks etc).
• Strong programming skills, with experience in Python (or similar experience with a desire to develop Python skills)
• Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM).
• A high level of competence in applied maths, statistics and scientific methods.
• Clear written and verbal communication.
• Ability to work autonomously on data science projects and as part of the team.

To Apply

If you feel you are a suitable candidate and would like to work for DVSA, please click apply to be redirected to our website to complete your application.

Machine Learning Engineer (MLOps)
Location: Oxfordshire, UK

Permanent

HYBRID 3 days per week onsite

ARCA Resourcing is partnering with an innovative, established but scaling technology company in Oxfordshire to recruit a Machine Learning Engineer (MLOps). This role offers the opportunity to work at the forefront of advanced computing and emerging technologies, applying modern machine learning techniques to complex scientific and engineering challenges.

As a Machine Learning Engineer, you will develop advanced ML-driven applications that enhance the performance, stability, and sensitivity of next-generation technologies. Working closely with experimental scientists and hardware engineers, you will translate complex physical system data into actionable improvements through intelligent data modelling and automation.

Key Responsibilities

• Develop and implement custom machine learning models for signal processing, sensor fusion, and system optimisation
• Design models for applications such as noise suppression, drift compensation, anomaly detection, and adaptive calibration
• Build and maintain robust data pipelines to process high-dimensional experimental and time-series datasets
• Train, validate, and optimise machine learning models using modern Python-based frameworks
• Integrate ML inference into real-time or near-real-time control environments
• Stay up to date with the latest developments in machine learning and sensor fusion techniques
• Interpret and communicate cutting-edge research in both theory and experiment with internal teams
• Contribute to the wider scientific community through publications, conferences, or technical collaboration
• Support and mentor colleagues, contributing to a collaborative research and engineering environment

Essential Skills & Experience

• BSc or MSc in Computer Science, Mathematics, Statistics, Physics, Quantum, or a closely related discipline
• 2+ years of industry experience developing and deploying machine learning models
• Strong programming skills in Python for machine learning and scientific computing
• Experience developing, training, and optimising machine learning models
• Familiarity with common ML tools and frameworks such as PyTorch, pandas, and scikit-learn
• Experience working with large datasets and high-performance computing (HPC) environments
• Strong analytical and problem-solving skills in complex technical environments
• Ability to communicate effectively with both technical and non-technical stakeholders
• Comfortable working in collaborative, cross-functional teams within a fast-paced R&D environment
• Ability to learn complex topics quickly and translate research into practical solutions

Desirable Skills & Experience

• PhD in Computer Science, Mathematics, Statistics, Physics, or a related field
• Experience deploying machine learning models to edge or embedded compute hardware
• Experience with MLOps workflows, including continuous training, testing, and deployment pipelines
• Experience with real-time systems, sensor data processing, or advanced signal processing
• Exposure to quantum technologies, quantum information science, or quantum machine learning

This is a unique opportunity to apply cutting-edge machine learning techniques within a highly technical environment, working alongside experts developing breakthrough technologies.

ARCA Resourcing welcomes applications from engineers passionate about using machine learning to solve complex scientific and engineering problems.

Please apply via the link for immediate consideration!

Location: Erskine, Scotland - Hybrid Candidates must be eligible for clearance Were looking for a talented and motivated Machine Learning Engineer to join our growing team. This is an exciting opportunity for women who want to advance their career in AI/ML, work on meaningful projects, and thrive in a supportive, collaborative environment. What Youll Do: Design, develop, and deploy machine learning models using modern frameworks and libraries. Collaborate closely with data scientists, engineers, and stakeholders to turn ideas into impactful solutions. Optimize and deploy models with tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate ML solutions into production environments. Monitor and improve model performance to ensure accuracy and efficiency. Contribute to team knowledge by mentoring and supporting colleagues. Bring creativity and fresh perspectives to problem-solving and technical solutions. What Were Looking For: We welcome applications from women who are passionate about machine learning and eager to grow: Strong Python skills and experience with ML libraries (pandas, NumPy, scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, PyTorch). Familiarity with model deployment and serving tools (ONNX, TensorRT, TensorFlow Serving, TorchServe). Experience with ML lifecycle tools (MLflow, Kubeflow, Azure ML Pipelines). Knowledge of distributed data processing (PySpark) and software engineering principles (Git). A collaborative mindset and excellent problem-solving abilities. Experience in data cleansing, exploratory data analysis, and visualisation. A continuous learning mindset and interest in emerging AI/ML technologies. Why Join Us? Work on impactful AI projects with real-world applications. Be part of a collaborative and forward-thinking team. Access to continuous learning and development opportunities. Flexible working arrangements and a supportive work culture. TPBN1\_UKTJ

Data Scientist - Optimisation & Operations Research

North West London (Hybrid, 3 days on-site) | £550 - £750/day

The Opportunity

We’re recruiting on behalf of a globally recognised organisation undergoing a major transformation in how it uses data to drive operational decisions. This is a rare chance to work on genuinely complex, high-impact decision-support software - embedding cutting-edge optimisation and machine learning directly into live operations.

You’ll join a high-performing, Agile product squad as a full-stack Data Scientist, sitting at the intersection of data engineering, ML, and operations research.

What You’ll Be Doing

• Designing and delivering optimisation and ML models (linear/mixed-integer programming, heuristics, supervised/unsupervised learning) in Python, from prototype to production
• Building robust, automated data pipelines and integrating models into cloud-based deployment pipelines with CI/CD
• Owning features end-to-end - from stakeholder requirements through to algorithm hardening, edge-case handling, and value measurement
• Working with orchestration frameworks (Dagster/Airflow), experiment tracking (MLflow), and containerised infrastructure (Docker/ECS)
• Collaborating closely with business stakeholders and contributing to roadmap and feature prioritisation

What We’re Looking For

• Strong operational research and optimisation background - this is a must
• Fluent Python, with hands-on experience of scikit-learn, pandas, numpy, Gurobi or similar OR packages
• Production ML/optimisation software experience - you’ve shipped models that run at scale
• Cloud platform experience (AWS preferred); familiarity with SageMaker, DVC, GitHub Actions a bonus
• Strong SQL and data engineering fundamentals
• Experience in airline, aviation, transport, or engineering/maintenance environments is highly desirable
• Master’s degree (or equivalent) in Data Science, ML, or Operational Research - or strong demonstrable industry experience

Data Scientist - Optimisation & Operations Research North West London (Hybrid, 3 days on-site) | £550 - £750 /day The Opportunity We're recruiting on behalf of a globally recognised organisation undergoing a major transformation in how it uses data to drive operational decisions. This is a rare chance to work on genuinely complex, high-impact decision-support software - embedding cutting-edge optimisation and machine learning directly into live operations. You'll join a high-performing, Agile product squad as a full-stack Data Scientist, sitting at the intersection of data engineering, ML, and operations research. What You'll Be Doing Designing and delivering optimisation and ML models (linear/mixed-integer programming, heuristics, supervised/unsupervised learning) in Python, from prototype to production Building robust, automated data pipelines and integrating models into cloud-based deployment pipelines with CI/CD Owning features end-to-end - from stakeholder requirements through to algorithm hardening, edge-case handling, and value measurement Working with orchestration frameworks (Dagster/Airflow), experiment tracking (MLflow), and containerised infrastructure (Docker/ECS) Collaborating closely with business stakeholders and contributing to roadmap and feature prioritisation What We're Looking For Strong operational research and optimisation background - this is a must Fluent Python, with hands-on experience of scikit-learn, pandas, numpy, Gurobi or similar OR packages Production ML/optimisation software experience - you've shipped models that run at scale Cloud platform experience (AWS preferred); familiarity with SageMaker, DVC, GitHub Actions a bonus Strong SQL and data engineering fundamentals Experience in airline, aviation, transport, or engineering/maintenance environments is highly desirable Master's degree (or equivalent) in Data Science, ML, or Operational Research - or strong demonstrable industry experience

My client is a fast-growing UK FinTech business serving thousands of customers. They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment.

This is a hands-on leadership role combining technical ownership, team development, and production-grade model deployment.

The Role

As Lead Data Scientist, you will:

• Lead and develop a growing Data Science team, setting standards and delivery cadence
• Own end-to-end ML solutions - from problem framing and feature engineering to deployment, monitoring, and governance
• Translate business objectives into modelling strategies aligned to risk appetite and operational constraints
• Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent)
• Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions
• Establish monitoring frameworks for performance, drift, and retraining
• Drive clear documentation, traceability, and governance appropriate for a regulated environment

This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance.

Essential Experience

• Proven commercial ML/Data Science delivery with measurable impact
• Experience taking models into production and managing performance over time
• Prior experience leading or mentoring Data Scientists
• Strong Python (pandas, numpy, scikit-learn or similar)
• Strong SQL (complex joins, aggregations, analytical functions)
• Solid grounding in applied statistics, evaluation design, calibration, bias/fairness
• Experience working closely with Engineering/Data teams in production-first environments
• Comfortable operating within regulated industries

Desirable

• AWS experience (S3, Athena/Glue, IAM, Lambda)
• SageMaker or equivalent ML platform experience
• Financial services domain knowledge (risk, fraud, affordability, payments)
• Experience with model explainability and governance documentation

Package & Benefits

• Hybrid working model
• Competitive pension
• Additional paid leave (birthday, charity, wellbeing, life events)
• Employee assistance programme & Virtual GP
• Modern collaborative office environment

Interested? Please Click Apply Now! Lead Data Scientist

My client is a fast-growing UK FinTech business serving thousands of customers. They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment.

This is a hands-on leadership role combining technical ownership, team development, and production-grade model deployment.

The Role

As Lead Data Scientist, you will:

• Lead and develop a growing Data Science team, setting standards and delivery cadence
• Own end-to-end ML solutions - from problem framing and feature engineering to deployment, monitoring, and governance
• Translate business objectives into modelling strategies aligned to risk appetite and operational constraints
• Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent)
• Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions
• Establish monitoring frameworks for performance, drift, and retraining
• Drive clear documentation, traceability, and governance appropriate for a regulated environment

This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance.

Essential Experience

• Proven commercial ML/Data Science delivery with measurable impact
• Experience taking models into production and managing performance over time
• Prior experience leading or mentoring Data Scientists
• Strong Python (pandas, numpy, scikit-learn or similar)
• Strong SQL (complex joins, aggregations, analytical functions)
• Solid grounding in applied statistics, evaluation design, calibration, bias/fairness
• Experience working closely with Engineering/Data teams in production-first environments
• Comfortable operating within regulated industries

Desirable

• AWS experience (S3, Athena/Glue, IAM, Lambda)
• SageMaker or equivalent ML platform experience
• Financial services domain knowledge (risk, fraud, affordability, payments)
• Experience with model explainability and governance documentation

Package & Benefits

• Hybrid working model
• Competitive pension
• Additional paid leave (birthday, charity, wellbeing, life events)
• Employee assistance programme & Virtual GP
• Modern collaborative office environment

Interested? Please Click Apply Now! Lead Data Scientist