174 Machine Learning Specialist jobs in the United Kingdom

Data Idols are working with a high-growth InsurTech to hire a Staff Data Scientist who will lead the design and delivery of geospatial and telematics data products. This is a rare zero-to-one build opportunity, where your expertise will directly shape the company's future data capabilities and have a measurable impact on business performance.

You'll take ownership of modelling and analysing telematics and geospatial datasets at scale, building products that optimise real-world movement, routing, and timing challenges. You'll be working with clean, structured sensor and movement data, including accelerometer, GPS, and signal data, and developing models that deliver direct commercial and customer value.

This role is the most senior individual contributor position within the data team, making you the technical authority on geospatial data science, modelling approaches, and best practices.

• Build and deploy advanced geospatial and telematics models from the ground up
• Design data products that optimise movement patterns and reduce inefficiencies
• Lead technical direction as the most senior IC
• Work with product and engineering partners to deliver production-ready solutions
• Ensure models deliver measurable impact across efficiency and experience

• Proven expertise in geospatial, telematics, or spatial data science
• Strong experience building and deploying end-to-end data products in production
• Excellent skills in modelling movement, sensor, and GPS datasets
• Track record of operating at a senior IC level, setting technical standards
• Experience in high-growth or data-first environments is desirable

• Up to 130K
• Equity and performance-based equity bonuses
• Private healthcare
• Pension contribution

If you're a Staff Data Scientist with deep expertise in geospatial and telematics data and want to build a new product from scratch in a scaling InsurTech, we'd love to hear from you.

Data Science Manager

London (2–3 days per week)

Up to £120,000

A leading e-commerce brand in the circular economy space is seeking a hands-on Data Science Manager to scale its pricing and optimisation capabilities across UK and US markets.

The business is committed to sustainability and innovation, operating across direct-to-consumer, marketplace, and B2B channels. With a strong technology backbone and global reach, they’re on a mission to reinvent how pre-owned products are bought and sold.

This is a role, balancing individual contribution with team leadership.

What You’ll Do

• Lead data science projects focused on pricing optimisation and revenue management.
• Manage and mentor a small international team of data scientists (UK and US based).
• Build statistical and machine learning models to enhance customer value and business outcomes.
• Develop and run rigorous experimentation frameworks (A/B, MAB, causal inference).
• Work cross-functionally with engineering, product, and commercial teams to deliver real-world impact.
• Lead data strategy for pricing across inbound and outbound flows.

What We’re Looking For

• Proven data science experience, ideally focused on pricing and revenue optimisation.
• Proven leadership in growing and mentoring data teams.
• Strong Python and SQL skills, with experience in cloud platforms such as Google Cloud.
• Expertise in statistical techniques such as GLMs, classification, survival models, forecasting, and optimisation.
• Hands-on experience with experimentation and causal inference.
• Strong MLOps knowledge and experience deploying models into production environments using CI/CD.
• Experience with data visualisation tools like Tableau, and communicating to both technical and non-technical audiences.

If this role looks of interest, please apply below.

Please note, this role cannot offer sponsorship.

Data Science Manager - up to £120,000 + uncapped bonuses!

Fintech unicorn. Hybrid, London.

Join one of the brightest fintech brands in London as they look for a Data Science Manager to lead a core team responsible for critical models inside their product.

We're in need of a leader to manage a team of excellent Data Scientists & Machine Learning Engineers as the business continues to grow & invest in itself. Someone who can work alongside key business stakeholders, driving the development of the main product through best-in-class Machine Learning solutions.

Looking for a role that combines technical brilliance with broader strategy? Check out the summary below!

Salary: £120,000 + bonus

Benefits: Uncapped bonus structure, work from abroad etc.

Data Science Manager

Up to £120,000

London (Remote/Hybrid)

Company:

Join a global marketplace redefining how pre-owned goods are collected, reused, and redistributed. Founded in the UK, they’ve built a scalable, tech-enabled platform that intercepts millions of unwanted items every year, transforming them from landfill-bound to re-loved by new owners.

Responsibilities:

• Lead and deliver scalable statistical models and analyses that drive business decisions
• Own end-to-end delivery of data science projects, from identifying and integrating data sources to experimentation, model deployment, and pricing strategy optimization
• Define and implement best practices in modelling, automation, and process improvements, ensuring the right tools and approaches are used for each problem.
• Effectively communicate complex insights to both technical and non-technical audiences, including senior executives, with a strong focus on commercial impact.
• Collaborate cross-functionally with product managers, engineers, and other stakeholders to align data science work with broader strategic goals under a “One Team” approach.

Requirements:

• MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Strong coding skills in Python and SQL
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.

**Please note that this role does not offer visa sponsorship**

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page

Data Science Manager - up to £120,000 + uncapped bonuses!

Fintech unicorn. Hybrid, London.

Join one of the brightest fintech brands in London as they look for a Data Science Manager to lead a core team responsible for critical models inside their product.

We're in need of a leader to manage a team of excellent Data Scientists & Machine Learning Engineers as the business continues to grow & invest in itself. Someone who can work alongside key business stakeholders, driving the development of the main product through best-in-class Machine Learning solutions.

Looking for a role that combines technical brilliance with broader strategy? Check out the summary below!

Salary: £120,000 + bonus

Benefits: Uncapped bonus structure, work from abroad etc.

Are you a focused, aspirational, and collaborative data science professional looking to take the next step in your career?

Campion Pickworth are working with a leading International professional services firm to recruit for Data Science and Machine Learning Assistant Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment.

This is a unique opportunity to work on a wide range of high-impact data science projects, leveraging cutting-edge technologies and working alongside a talented team of professionals. You’ll play a key role in shaping our data capabilities and delivering meaningful insights that support business-critical decisions.

What You’ll Do

• Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions.
• Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data.
• Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence.
• Collaborate with cross-functional teams to identify business needs and translate them into scalable data science solutions.
• Manage multiple projects from inception to deployment within cloud-based environments.
• Maintain high standards in code review, documentation, and delivery in a DevOps context.
• Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models.

What We’re Looking For

Essential Skills and Experience:

• Proven ability to solve complex, real-world problems through data science and analytics.
• Experience coaching and reviewing work of junior team members.
• Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics.
• Deep knowledge of machine learning methods and their practical application.
• Experience managing multiple end-to-end data science projects across varied data types.
• Familiarity with DevOps practices and tools like Git.
• Cloud experience (e.g. Azure, AWS) and working with ML platforms and services.
• Strong communication skills, capable of explaining complex topics to non-technical stakeholders.
• Ability to align data science efforts with broader business objectives.

Desirable Skills:

• Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs).
• Familiarity with Generative AI and prompt engineering.
• Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes.
• Exposure to Agile development environments and software engineering best practices.
• Experience working in large or complex organisations or regulated industries.
• Strong working knowledge of Excel, SQL, Power BI, and Tableau.

Why Join?

• Work in a fast-growth, innovation-driven environment.
• Be part of a diverse and inclusive team where your contributions are valued.
• Tackle meaningful challenges with real-world impact.
• Access continuous professional development and technical learning opportunities.

Are you a focused, aspirational, and collaborative data science professional looking to take the next step in your career?

Campion Pickworth are working with a leading International professional services firm to recruit for Data Science and Machine Learning Assistant Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment.

This is a unique opportunity to work on a wide range of high-impact data science projects, leveraging cutting-edge technologies and working alongside a talented team of professionals. You’ll play a key role in shaping our data capabilities and delivering meaningful insights that support business-critical decisions.

What You’ll Do

• Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions.
• Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data.
• Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence.
• Collaborate with cross-functional teams to identify business needs and translate them into scalable data science solutions.
• Manage multiple projects from inception to deployment within cloud-based environments.
• Maintain high standards in code review, documentation, and delivery in a DevOps context.
• Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models.

What We’re Looking For

Essential Skills and Experience:

• Proven ability to solve complex, real-world problems through data science and analytics.
• Experience coaching and reviewing work of junior team members.
• Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics.
• Deep knowledge of machine learning methods and their practical application.
• Experience managing multiple end-to-end data science projects across varied data types.
• Familiarity with DevOps practices and tools like Git.
• Cloud experience (e.g. Azure, AWS) and working with ML platforms and services.
• Strong communication skills, capable of explaining complex topics to non-technical stakeholders.
• Ability to align data science efforts with broader business objectives.

Desirable Skills:

• Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs).
• Familiarity with Generative AI and prompt engineering.
• Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes.
• Exposure to Agile development environments and software engineering best practices.
• Experience working in large or complex organisations or regulated industries.
• Strong working knowledge of Excel, SQL, Power BI, and Tableau.

Why Join?

• Work in a fast-growth, innovation-driven environment.
• Be part of a diverse and inclusive team where your contributions are valued.
• Tackle meaningful challenges with real-world impact.
• Access continuous professional development and technical learning opportunities.

Data Science - Consulting

UK-based, with on-site client work as needed

We are looking for a Digital Consultant to lead the application of AI, advanced analytics, and digital tools in solving complex, high-impact challenges across sectors such as healthcare, defence, retail, and the public sector.

In this role, you'll work directly with clients to design and implement innovative digital solutions - from deploying machine learning models that reduce hospital admissions to building AI tools that optimise supply chains or support national policy decisions.

This isn't just a technical role - you'll also lead teams, influence senior stakeholders, and drive operational change from idea to implementation. If you're excited by making real-world impact, not just slide decks, this is the opportunity for you.

What You'll Do:

• Lead the design and delivery of AI and digital solutions that create measurable client impact.
• Identify high-value opportunities to apply data science, AI, and automation.
• Guide multi-disciplinary teams through hands-on, agile delivery.
• Translate technical insights into actionable strategies for senior stakeholders.
• Mentor colleagues and shape the organisation's digital capabilities and culture.

What We're Looking For:

• Proven experience delivering digital/AI solutions from concept to implementation.
• Deep expertise in at least one of: AI, data science, advanced analytics, or digital tooling.
• Strong leadership and communication skills, with experience guiding teams and working with non-technical stakeholders.
• Passion for solving complex problems and delivering operational change at pace.
• Adaptability, continuous learning, and a collaborative mindset.