Data Scientist Jobs in London

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Roles

Overview

Looking for top Data Scientist jobs in London? Explore the latest London-based data science roles on Haystack, your go-to IT job board. Whether you're a seasoned data scientist or just starting your career, find exciting opportunities with leading companies in the heart of the UK’s tech scene. Start your search today and take the next step in your data science career in London!

Job Title: AI Engineer / Data & AI Scientist (LLM, Generative AI, Python)

We are recruiting for an AI Engineer / Data & AI Scientist to join a high-impact programme building next-generation conversational AI and generative AI platforms. This role focuses on developing production-grade LLM applications, agent-based AI systems and RAG pipelines used in large-scale customer-facing environments.

This is an opportunity to work on advanced AI assistant and conversational AI technology, building scalable multi-agent architectures and generative search systems using modern AI frameworks.

Key Responsibilities

* Design and build LLM-powered applications using Python and Generative AI frameworks

* Develop RAG (Retrieval Augmented Generation) pipelines and AI orchestration workflows

* Build and deploy agent-based AI systems using tools such as LangGraph, CrewAI or similar frameworks

* Engineer scalable AI infrastructure across Azure and GCP environments

* Implement prompt engineering, model evaluation and LLMOps monitoring

* Develop AI products including conversational AI assistants, summarisation tools and generative search capabilities

Required Skills

* Strong Python development experience

* Experience building production LLM or Generative AI applications

* Knowledge of RAG pipelines, prompt engineering and vector search

* Experience with agentic AI frameworks (LangGraph, CrewAI or similar)

* Exposure to LLMOps, model evaluation or monitoring

* Experience with cloud AI platforms such as Azure AI or Vertex AI (GCP)

Desirable Experience

* Conversational AI or AI assistant platforms

* Multi-agent architectures

* Responsible AI, AI ethics or guardrail design

* Agile / Scrum environments

This is an excellent opportunity for an AI Engineer, Machine Learning Engineer, LLM Engineer or Generative AI Engineer looking to build production AI systems and next-generation conversational AI platforms.

Apply now to work on cutting-edge generative AI and LLM technologies

Data Analyst

FERROVIAL CONSTRUCTION LIMITED

The Data Analyst plays a key role on a large-scale infrastructure project, focusing on the development and ongoing maintenance of the project’s connected digital environment. The role involves analysing data to support decision-making and ensure project objectives are met.
You will work closely with information management and project controls teams, using data to improve project efficiency and support digital transformation initiatives.
You will join the FBRS (Ferrovial BAM Joint Venture) Information Management Team (IM), where your responsibilities will include ensuring systems integration, designing data modelling processes, and developing algorithms and predictive models to extract the data required by the project. You will also collaborate with teams across the project to support data analysis and share insights.
Candidates need to demonstrate outstanding attention to detail, self-motivation, and the ability to take initiative. They should also have strong Power BI expertise and experience using FME for data integration.
Key Responsibilities:
* Collect, process, and analyse construction project data from multiple sources.
* Support project teams with data quality checks.
* Use FME to support information sharing and provide basic training on FME to project teams. Ensure project team members receive essential instruction on ETL tools (FME).
* Drive digital transformation by identifying and implementing process and workflow efficiency improvements.
* Support the integration of project systems with internal and client platforms.
* Work closely with digitalisation and project controls teams to ensure accurate data flow and project insights.
* Analyse datasets to identify trends, patterns and actionable insights.
* Create and maintain Power BI dashboards, visualisations, and reports for executive and project stakeholders.
* Work closely with the client, RSA delivery team and Project Information Manager to ensure system stability and improvement.
* Ensure the project complies with relevant legislation, project standards, and client requirements.
Key Skills and qualifications:
* Strong organisational skills to manage multiple tasks, projects, and data streams effectively.
* Ability to perform Quality Assurance checks according to the project and industry standards
* Ability to coordinate and manage own workload support project delivery.
* Familiarity with BIM, Python/R and UK construction data standards.
* Familiarity with ETL tools like FME and GIS integrations.
* Strong communication, stakeholder engagement, and problem-solving skills.
* Experience in large infrastructure projects.
Location: London
Please note that this job description does not represent a comprehensive list of activities and employees may be requested to undertake other reasonable duties.
The Ferrovial BAM Joint Venture (FBJV) has a successful history of delivering critical infrastructure for the UK on time and to budget together in joint venture partnership. They first worked together in 2010 as BFK, delivering three Crossrail contracts, including the longest stretch of tunnelling works between Royal Oak and Farringdon and Farringdon Station, the first central station to be completed on the Elizabeth Line. The team is also delivering the Silvertown Tunnel project together in East London and has been delivering excellence at each stage of HS2, such as Fusion JV for the Enabling Works packages, EKFB for the central Main Works Contract and now delivering the track infrastructure across the entire HS2 route.
Seize the challenge. Move the world together! Innovative, creative, respectful, and diverse are some of the ways we describe ourselves. We are motivated by challenges, and we collaborate across our business units to move the world together. Your journey to a fulfilling career starts here!
Ferrovial is an equal opportunity employer. We treat all jobs applications equally, regardless of gender, color, race, ethnicity, religion, national origin, age, disability, pregnancy, sexual orientation, gender identity and expression, covered veteran status or protected genetic information (each, a “Protected Class”), or any other protected class in accordance with applicable laws

Trainee AI Engineer - No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. We Get You Hired Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, we'll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Tech Focus: Azure / OpenAI / Copilot

Rate: Inside IR35: £500-£600/day

Location: Fully Remote

This is a fantastic opportunity for an AI Engineer to join a global construction and property consultancy that has undergone significant digital transformation. The organisation has invested heavily in its digital and data foundations and now wants to accelerate its AI capabilities. They have already built an AI platform and identified use cases. They now need an engineer who can help bring them to life.

Although the journey has begun, this hire is critical. As the AI Engineer, you will be driving this forward. Taking a hands-on role in developing AI solutions from the ground up and establishing best practices, standards, and guardrails for future development.

The organisation wants to leverage AI to streamline processes, solve complex challenges, and deliver tangible business outcomes. They work exclusively within the Microsoft Azure ecosystem, so practical experience with AI tooling in a cloud environment is essential.

What We Are Looking For

Proven, practical AI development experience - building solutions that have delivered real business outcomes
Experience developing chatbots, agentic AI, or similar applied AI applications
Strong understanding of best practices, governance, and guardrails for safe and scalable AI adoption
Scripting experience - Python, R, or Java.
Hands-on experience with Azure cloud AI services, such as: Azure AI, Azure Machine Learning, Azure OpenAI (Open to candidates with equivalent experience in other cloud environments)
Experience with Copilot (or similar tools)
Experience with OpenAI models

Why This Role?

This is a unique opportunity to help to shape the future of AI for a global business and will give you an exceptional opportunity to further develop your skills and take more ownership.

If this sounds like the right fit and you’d like to find out more, please apply directly and we’ll be in touch.

AI Engineer

DCV Technologies Limited

Job Title: AI Engineer / Data & AI Scientist (LLM, Generative AI, Python)

This is an opportunity to work on advanced AI assistant and conversational AI technology, building scalable multi-agent architectures and generative search systems using modern AI frameworks.

Key Responsibilities

Design and build LLM-powered applications using Python and Generative AI frameworks

Develop RAG (Retrieval Augmented Generation) pipelines and AI orchestration workflows

Build and deploy agent-based AI systems using tools such as LangGraph, CrewAI or similar frameworks

Engineer scalable AI infrastructure across Azure and GCP environments

Implement prompt engineering, model evaluation and LLMOps monitoring

Develop AI products including conversational AI assistants, summarisation tools and generative search capabilities

Required Skills

Strong Python development experience

Experience building production LLM or Generative AI applications

Knowledge of RAG pipelines, prompt engineering and vector search

Experience with agentic AI frameworks (LangGraph, CrewAI or similar)

Exposure to LLMOps, model evaluation or monitoring

Experience with cloud AI platforms such as Azure AI or Vertex AI (GCP)

Desirable Experience

Conversational AI or AI assistant platforms

Multi-agent architectures

Responsible AI, AI ethics or guardrail design

Agile / Scrum environments

Apply now to work on cutting-edge generative AI and LLM technologies.

TPBN1_UKTJ

Job Title: AI Engineer / Machine Learning Engineer Location: UK (Hybrid/Flexible) Salary: £80,000£120,000 Experience: 38 Years A fast-growing technology consultancy is looking for a talented AI Engineer / Machine Learning Engineer to join their expanding AI practice. This is a high-impact role working on real client projects across generative AI, machine learning and cloud-based solutions. Key Responsibilities: Design, build and deploy machine learning and AI solutions for enterprise clients Develop models using Python, PyTorch and modern ML frameworks Work with large datasets to train, evaluate and optimise models Implement and scale solutions on AWS (SageMaker, Bedrock, Lambda, etc.) Contribute to generative AI initiatives using Hugging Face and open-source models Collaborate with data engineers, architects and stakeholders to deliver production systems Required Skills & Experience: 38 years experience in AI, Machine Learning or Data Science roles Strong Python programming skills Hands-on experience with PyTorch Experience with Hugging Face transformers or similar frameworks Solid experience deploying ML solutions on AWS Understanding of MLOps, model deployment and performance optimisation Ability to work in a consultancy environment with multiple clients Desirable: Experience with LLMs, RAG pipelines or generative AI applications Knowledge of Docker, Kubernetes or CI/CD for ML Exposure to other cloud platforms (Azure/GCP) Whats on Offer: £80,000£120,000 base salary Work on cutting-edge AI and generative AI projects Rapid career progression within a growing consultancy Collaborative, innovation-focused culture Flexible/hybrid working If youre looking to build advanced AI solutions and want to be part of a consultancy scaling its AI capability, apply now with your CV. TPBN1\_UKTJ

Data Analyst Placement Programme

Data Jobs at ITOL Recruit

Please note this is a training course and fees apply

Are you looking to benefit from a new career in Data Analysis?

If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst

We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis.

Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles.

Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of 50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners.

Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts:

Junior Data Analyst - 30,000
Data Analyst - 50,000
Business Data Analyst - 67,500
Data Analytics Analyst - 80,000
Business Analysts - 60,000

Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis.

The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector.

Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers.

Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below.

Step 1 - CompTIA Data+ Qualification

The first step is completing the CompTIA Data+ Qualification accredited by CompTIA.

This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data.

Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.

The course is provided online and comes complete with exam simulators and revision tools.

You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.

This qualification will set you on a route to becoming a data analyst.

Step 2 - Data Administration Training

Data is extracted using various method which are normally IT driven.

Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst.

Microsoft excel - to expert level.
Learn SQL - the programming language used for extracting data from more complex databases.
Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.
Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.

Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam.

Step 3 - Business Analysis Foundation

Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa.

Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT).

Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam.

Step 4 - Recruitment Support

Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have.

We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot.

Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector.

They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need.

Our money back guarantee

If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams.

However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months.

Check our testimonials from the hundreds of candidates we have already helped.

What Now?

To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front.

Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

AI Engineer

Halian Technology Limited

JOB- AI Engineer

LOCATION- London (Hybrid 2 days per week in the office)

TERM- Permanent

SALARY- £70,000 to £100,000 per annum (plus benefits)

My client is an innovative fintech company developing intelligent, data-driven products to improve financial services and decision-making. They are looking to expand their technology team by hiring an AI Engineer to work on building and deploying machine learning and AI-powered solutions from their London office.

The AI Engineer will ideally have the following attributes:

Knowledge / experience in Artificial Intelligence, Machine Learning, or Data Science

A degree qualification (BSc, MSc, PhD etc.) in Computer Science, Artificial Intelligence, Mathematics, Data Science or similar

Strong programming skills in Python

Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn

Experience working with large datasets and building data pipelines

Knowledge of cloud platforms such as AWS, GCP, or Azure

Experience developing and deploying AI/ML models into production environments

Understanding of APIs, microservices, and modern software development practices

Ability to work both independently and as part of a collaborative engineering team

Excellent communication skills (both verbal and written)

Keen to develop technically and grow within a fast-paced fintech environment

The AI Engineer role will involve:

Working within the existing engineering and data teams to develop AI-driven products

Designing, building, and deploying machine learning models

Developing data pipelines and preparing datasets for model training

Optimising model performance and monitoring production systems

Collaborating with software engineers to integrate AI solutions into applications

Researching and implementing new AI techniques to improve product capabilities

If you are interested in this position, please apply with an up-to-date CV as soon as possible, along with your availability and salary expectations.

TPBN1_UKTJ

Data Scientist - SC Cleared

Your new company
One of the most influential Central Government Organisations in the current economic climate
Your new role
Data Scientist - SC Cleared - SQL, Python & R
What you’ll need to succeed
My client is looking for an Analytical Data Scientist, leading/working alongside a team of data scientists to deliver key outputs for commissioned projects (use cases).
You will also support the development of GSCIP through developing tools, data visualisations, and data available for analysis.
You will have the opportunity to work on bespoke data science projects to improve understanding and interpretation of the data, and enhance use case delivery capability.
This role can only be offered to candidates with Active and Existing SC or DV Clearance.

Essential Criteria:

Experience of delivering high-quality coding projects that make use of at least two of: SQL, Python & R
Experience of engaging with stakeholders across government to scope and deliver impactful analysis
Experience of leading teams through complex data science projects - a track record of delivering complex data science projects on time to meet user needs, and overcoming any challenges
A demonstrable commitment to developing your knowledge and expertise
Significant technical data science knowledge

Desirable Criteria:

Understanding of supply chain data sources
Experience with Pyspark/Spark SQL
Experience delivering interactive visualisations in Python and SQL
Graph data experience, including with graph query languages and knowledge graphs
Experience working on technical commercial procurements

This is a hybrid role at 40% and Monday is a mandatory team day. Successful candidates will join the role asap and interviews are to commence 16/3/26 onwards.

What you’ll get in return
This is an excellent role to join the GSCI Programme as an experienced Data Scientist, ensuring existing delivery and data standards are maintained and services scaled up!
What you need to do now

If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now.
If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C’s, Privacy Policy and Disclaimers which can be found at (url removed)

Data Scientist - UKIC DV Clearance Required

Our client, a prominent entity in the Defence & Security sector, is seeking a meticulous Data Scientist with a strong understanding of Linux, Data Science, and AWS to join their team. This is a contract position located in London for a duration of 12 months, requiring a UKIC DV clearance to undertake sensitive and impactful work.

Key Responsibilities:

Develop and deploy data science solutions to support national security missions.
Build and optimise data pipelines for processing large, complex datasets.
Apply machine learning and statistical techniques to extract actionable insights.
Create clear visualisations to communicate findings to stakeholders.
Collaborate in agile teams to deliver robust, scalable solutions.
Support cloud-based deployments and integration into operational environments.

Job Requirements:

Proficiency with scripting languages like Python for data exploration, cleansing, and manipulation.
Knowledge of machine learning models and statistical techniques, including validation.
Understanding of data analytics and data visualisation techniques.
Ability to process large datasets via batch or stream processing using Apache Spark or similar tools.
Exposure to techniques used for acquiring and fusing data.
Experience with cloud platforms (preferably AWS) or implementing cloud-based data science solutions.
Knowledge of, or willingness to learn, DataOps.
Experience with structured or unstructured databases.
Experience with container technologies, including Docker and Kubernetes.
Familiarity with agile ways of working.
Understanding of software best practices including version control, CI/CD pipelines for automated testing, and deployment.
Proficiency in Linux.
BPSS & Current UKIC DV clearance.

Additional Details:

Location: 5 days per week onsite - London
Duration: 12 months

If you are a dedicated Data Scientist with the necessary clearances and skills, and are eager to contribute to mission-critical projects in the realm of national security, we want to hear from you. Apply now to take the next step in your career with our client.

Machine Learning Engineer

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 - Supply Chain Optimisation

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 - Supply Chain Optimisation

CBSbutler Holdings Limited trading as CBSbutler

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

Pricing Manager - Insurance

Harnham - Data & Analytics Recruitment

PRICING MANAGER- INSURANCE

£70-80K DEPENDING ON EXPERIENCE

LONDON BASED

This is an exciting opportunity to join a growing business in the insurance space where you can make a real impact on the business. You’d be able to work across a range of pricing analytics projects with the rare opportunity to really take ownership of your work and make an impact.

THE COMPANY

Our client are an exciting insurance business that are growing well. They’ve gone from strength to strength in recent years and this role is part of their increased presence in the market. You’d be able to work in small team within this hands-on, analytical role whilst also taking on management of a couple of analysts.

THE ROLE

End-to-end development of some of their first GBM models across the book
Develop and implement pricing strategies to enhance business performance
Analyse large sets of customer data to drive insight and commercial performance across their pricing quotes
Share insight with the wider team and helping to improve profitability across the business
Manage a team of 2, helping with their development and progression

YOUR SKILLS AND EXPERIENCE:

Essential to have experience within UK general insurance
Essential to have had experience building GLM pricing models, ideally using ML techniques
Exposure to both retail and risk pricing
Good knowledge of programming software such as SAS, SQL, Python or R
Experience managing junior analysts OR proven ability in coaching and leadership

SALARY AND BENEFITS

Base salary £70-80,000 depending on experience
Bonus
Contributory pension scheme
Work abroad scheme
Private medical
25 days holiday

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

Data Scientist - Credit

Harnham - Data & Analytics Recruitment

Data Scientist - Credit Risk £55-65,000 London

THE COMPANY

This business are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving impact in your work at the forefront of the market.

THE ROLE

Work across a range of credit models within the business, predominantly scorecards and broader decisioning models
Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business
Own the deployment and implementation of predictive models across the product suite
Working closely with the Credit and Product teams to enhance performance and profitability across the business by collaborating on strategies and model enhancements

YOUR SKILLS AND EXPERIENCE:

Essential to have experience developing predictive models, ideally within credit risk
SQL and Python experience is essential
Essential to have experience using Machine Learning techniques to develop non-linear models
Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech

SALARY AND BENEFITS

Base salary from £55-65,000
Company pension scheme
Private medical care
Equity scheme

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

Job Title: AI Engineer / Data & AI Scientist (LLM, Generative AI, Python)

This is an opportunity to work on advanced AI assistant and conversational AI technology, building scalable multi-agent architectures and generative search systems using modern AI frameworks.

Key Responsibilities

Design and build LLM-powered applications using Python and Generative AI frameworks
Develop RAG (Retrieval Augmented Generation) pipelines and AI orchestration workflows
Build and deploy agent-based AI systems using tools such as LangGraph, CrewAI or similar frameworks
Engineer scalable AI infrastructure across Azure and GCP environments
Implement prompt engineering, model evaluation and LLMOps monitoring
Develop AI products including conversational AI assistants, summarisation tools and generative search capabilities

Required Skills

Strong Python development experience
Experience building production LLM or Generative AI applications
Knowledge of RAG pipelines, prompt engineering and vector search
Experience with agentic AI frameworks (LangGraph, CrewAI or similar)
Exposure to LLMOps, model evaluation or monitoring
Experience with cloud AI platforms such as Azure AI or Vertex AI (GCP)

Desirable Experience

Conversational AI or AI assistant platforms
Multi-agent architectures
Responsible AI, AI ethics or guardrail design
Agile / Scrum environments

Apply now to work on cutting-edge generative AI and LLM technologies.

AI Engineer

Halian Technology Limited

Location: London (Hybrid) Salary: Competitive + Benefits Halian are representing a leading UK digital publishing organisation is seeking an AI Engineer to drive AI innovation across editorial, commercial, and product teams. This is a newly created opportunity to play a pivotal role in shaping how artificial intelligence is embedded into a large-scale newsroom and digital media environment. You will work cross-functionally to identify high-impact use cases and design practical, scalable AI solutions that improve efficiency, engagement, and decision-making. The Role Design, prototype, and deploy AI-driven tools to enhance newsroom and business workflows Develop prompt-engineered generative AI applications for summarisation, tagging, research support, and operational efficiency Build and test AI agents and automation workflows to streamline repetitive processes Partner with editorial, product, commercial, and technology stakeholders Foster a test-and-learn culture through experimentation and rapid iteration Ensure responsible and ethical AI deployment aligned with organisational standards Stay current with developments in LLMs, generative AI, and applied machine learning About You Proven experience in AI/ML engineering, AI architecture, or data science Strong understanding of generative AI, LLMs, NLP, and ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) Experience deploying AI models in cloud environments (AWS, Azure, or GCP) Strong Python skills and experience integrating APIs and automation tools Commercial mindset with the ability to translate business needs into scalable AI solutions Experience within media, publishing, or digital product environments is advantageous Whats on Offer Competitive salary 25 days holiday (increasing with service) Pension and life cover Employee discounts and wellbeing support Onsite facilities including gym and healthcare support This is an excellent opportunity for an AI Engineer who wants to see their work deployed at scale within a high-impact, fast-paced digital environment. For a confidential discussion or to apply, please get in touch. TPBN1\_UKTJ

Quant Developer / Data Scientist

Quant Developer / Data Scientist Location: Flexible (Major Financial Hubs) Experience: 25 Years Compensation: Competitive + Performance-Based Bonus A leading asset management firm is seeking a highly talented Quant Developer / Data Scientist to join its systematic and discretionary investment teams. This is a front-office, high-impact role working directly with Portfolio Managers and Quant Researchers to design, implement, and scale the next generation of research and trading infrastructure. This opportunity is ideal for someone who loves hands-on development, quantitative research, and solving complex data challenges in a fast-paced, intellectually rigorous environment. Key Responsibilities Develop and optimise quantitative research frameworks , signal-generation pipelines, and analytics tools. Work closely with PMs and Quants to translate research ideas into production-grade models and code . Build and maintain high-performance C++ and Python components used for modelling, simulation, and live trading. Design scalable Linux-based data and compute architectures , including feature engineering and large dataset processing. Support the creation of robust backtesting environments , ensuring accuracy, reproducibility, and efficiency. Collaborate with investment teams to enhance portfolio construction, execution logic, and model robustness. Contribute to the broader technology and research roadmap, identifying opportunities for optimisation and innovation. Required Skills & Experience 25 years experience as a Quant Developer, Data Scientist, or Research Engineer within a trading, hedge-fund, or asset-management environment. Strong programming skills in: C++ (performance-critical research and execution components) Python (research, data processing, statistical modelling) Solid experience working in Linux environments, including scripting, debugging, and performance optimisation. Understanding of software architecture and experience contributing to scalable, modular research or trading systems. Strong quantitative background with a degree in a highly technical field (Computer Science, Mathematics, Physics, Engineering, Statistics, or related STEM discipline). Excellent problem-solving skills and the ability to work closely with front-office teams. Bonus / Preferred Skills Knowledge of Japanese equity or derivatives markets (microstructure, trading conventions, data nuances). Experience with time-series modelling, market-microstructure research, or alpha-signal development. Familiarity with cloud compute environments, distributed frameworks, or containerised research infrastructure. Experience with CI/CD, Git, workflow automation, and best-practice engineering processes. What Were Looking For Someone who is: Curious, analytical, and proactive. Excited by the challenge of building research and trading infrastructure from the ground up . Comfortable taking ownership, contributing ideas, and working directly with investment decision-makers. Motivated to work in a performance-driven, collaborative buy-side environment. TPBN1\_UKTJ

AI Research Analyst (R&D)

AI, Automation & Emerging Technology
UK Junior Mid Level 2+ Years Experience

About the Role

We re building a disciplined R&D capability to explore emerging technologies, validate new approaches, and feed high-quality innovation into our Product and Engineering teams.

As our AI Research Analyst (R&D), you ll generate the technical evidence that supports strategic decisions. You ll research AI and automation technologies, evaluate vendors and tools, build (basic) timeboxed proofs of concept in Python and/or C#, and produce clear, decision-ready outputs.

This is not a BAU delivery role.
It s structured, evidence-led innovation.

You ll report functionally to the Head of R&D, with day-to-day coaching from the Senior R&D Engineer (Who is an accomplished Software Engineer)

Salary: £40 - £50K Basic + Bonus + Benefits package

Location: North East office, but remote across the UK is totally fine.

What You ll Bring

Essential

2+ years in a technical analyst, research, or solutions-focused role
Some Hands-on coding ability in Python and/or C# (You’ll learn software engineering from the senior R&D engineer, who’ll learn R&D from you!)
Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations)
Strong analytical thinking and structured evaluation skills
Excellent written communication clear, concise, decision-ready outputs
Self-directed working style with confident stakeholder engagement
Familiarity with workflow orchestration / BPMN fundamentals

Desirable

Experience building AI-integrated applications
API and cloud platform exposure
Vendor/technology selection experience
Knowledge of process automation or orchestration platforms

Why Join

Direct exposure to cutting-edge AI and automation
Real influence over technology decisions
Clear progression into Senior R&D or specialist AI roles
Close collaboration with Architecture, Engineering, and Product

We re looking for curiosity and rigour in equal measure someone excited by emerging AI, but disciplined enough to separate signal from noise.

Apply now!

Head of Data - London - Messy Data / Web Crawlers / Data Aggregation

High Growth B2B SaaS AI & Machine Learning Platform

£90,000 - £100,000 + Significant Equity

I am working with a scaling London based technology business where Machine Learning and AI sit at the core of the product.

The platform is built around a large-scale dataset created by crawling the web and collecting millions of listings from multiple external sources. That raw data is then structured, matched and analysed to power a suite of SaaS tools used across the market.

One of the core technical challenges is that the same entity can appear multiple times across different sources, often with slightly different attributes or descriptions. The platform uses a combination of neural networks and rule based systems to match records and build a reliable dataset over time. They are now hiring a Head of Data to take ownership of their data and AI platform.

The Opportunity

This is a hands-on leadership role where you will lead a team of 5-6 across Data Science and Data Engineering while remaining technically involved in modelling, machine learning deployment and architectural decisions.

The platform runs on AWS and includes large-scale crawlers ingesting significant volumes of external data. However, the architecture has evolved over time and data currently sits across multiple siloed systems.

They need someone who understands what good looks like in a modern data platform and can bring structure, coherence and technical direction.

You will take ownership of improving the data architecture, strengthening the matching systems and defining a clear data and AI roadmap for the business.

Key Areas of Focus

Designing and improving a scalable AWS based data platform
Rationalising fragmented data across multiple systems
Leading the full machine learning lifecycle from ingestion and feature engineering through to deployment
Improving neural network and rule based matching systems used to identify the same entities across different sources
Embedding robust MLOps and model monitoring
Building a coherent data architecture that supports future AI development
Leading and developing a team of Data Scientists and Data Engineers

The Background That Works Well

Relevant experience in environments that deal with messy data from multiple external sources might include:

Web crawling or large-scale web data ingestion
Marketplace or data aggregation platforms
Entity resolution, record linkage or deduplication systems
Matching systems or recommendation engines
Geospatial or address based data platforms
ML systems deployed into production

You do not need sector experience, but you should be comfortable working with complex datasets where the same entity appears across multiple sources.

What They Are Looking For

Strong Data Science background with hands on machine learning experience
Experience deploying ML models into production environments
Understanding of data engineering concepts and modern cloud data platforms
Architectural thinking around data platforms and ML systems
Experience working with messy, multi source datasets
Leadership experience managing small, high impact teams
Someone proactive who can define standards and shape the data roadmap

Package

Salary: £90,000 - £100,000

Equity: Meaningful equity with real upside (3 year vesting)

Location: London - Hybrid working, typically 2-3 days in the office with a pragmatic approach to flexibility

This is a high ownership role where you will be shaping the foundations of a data and AI platform inside a scaling technology business.

If you enjoy solving complex data problems, building scalable machine learning systems and leading a small but impactful team, I would be keen to speak.

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Frequently asked questions

London offers a wide range of Data Scientist roles, including positions in finance, healthcare, technology, and retail sectors. You can find opportunities ranging from entry-level to senior positions, focusing on machine learning, data analysis, AI development, and more.

Most employers require candidates to have the legal right to work in the UK. However, some companies sponsor work visas for qualified Data Scientists. It's important to check each job listing for details about work authorization and sponsorship options.

Key skills include proficiency in Python or R, experience with machine learning frameworks, strong statistical knowledge, data visualization tools such as Tableau or Power BI, and familiarity with big data platforms like Hadoop or Spark.

Building a strong portfolio with real-world projects, obtaining relevant certifications, networking within the London tech community, and tailoring your CV to highlight relevant experience and skills can improve your chances.

Salaries vary based on experience, sector, and company size. Generally, entry-level Data Scientist positions start around £35,000 - £45,000, while senior roles can exceed £90,000 per year.