480 Recommendation Systems jobs in the United Kingdom
Data Science and Machine Learning Scientist
Posted 2 days ago
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Senior Research Scientist - AI/ML & Signal Processing
Location: Great Baddow (Hybrid, 2 days onsite per week)
Salary: Up to £70,000 + benefits
We are seeking a Senior Research Scientist to join a growing Data and Decision Support capability within a leading global technology and defence organisation. This role is focused on developing novel AI/ML algorithms and statistical signal processing technique.
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Senior Research Scientist: Data Science and Machine Learning
Posted 1 day ago
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Job Description
BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments.nJob Title:
Senior Research ScientistnRequisition ID:
nLocation:
Great Baddow – Hybrid working 2 days onsite per weeknGrade:
GG11nReferral Bonus:
£5,000nBAE Systems Digital Intelligence Innovation and Technology is seeking to recruit a senior researcher to join our rapidly expanding Data and Decision Support Capability.nYou should have a solid background in Machine Learning (ML) and/or statistical signal processing combined with excellent programming skills in Python and extensive experience in the use of libraries and toolboxes to support efficient development.nThe right candidate will join our Advanced Information Processing (AIP) group, specialising in developing novel inference algorithms and the application of AI/ML to sequential (time-series) data and decision making.nThe candidate will have the opportunity to deliver a wide range of AI/ML research topics for customers across the space, defence, security and commercial sectors as well as into our internal BAE Systems programmes. You will also have the opportunity to maintain strong links with Academic partners and to grow technical research areas of interest to you.nThe Data and Decision Support Capability has a diverse range of teams/groups working across various AI/ML areas such as AI/ML for RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, agent-based ML, autonomy, ML for signal processing, edge ML, image analysis and computer vision, generative AI, deep fake, LLMs, knowledge graphs, NLP, graph ML and others. You will have the opportunity to work with these colleagues in multi-disciplinary teams.nTypical Responsibilities:nLead technical delivery of projects, leading junior researchers. Prepare and deliver technical reports, technical proposals and supporting materialnLead novel research in given topic areas; this can be in partnership with other (internal or external) suppliers and/or leading UK UniversitiesnDevelop prototypes and proof of concept demonstratorsnTake ownership of tasks in projects and deliver to challenging standardsnWork effectively both on self-directed projects and as part of a project teamnEffectively present results to both technical and non-technical audiencesnUndertake mentoring of junior staff working on similar research topicsnPatent and/or publish novel concepts and research findings, where appropriatenEssential Knowledge, Skills and Experience:nPhD or equivalent industry experience in a relevant disciplinenSeveral years of expertise in the application of AI/ML and/or statistical signal processing to sequential (e.g. sensor time-series) data and decision-making post PhDnExperience in software development for proof of concept in PythonnExperience with machine and deep learning frameworks: TensorFlow, PyTorch, scikit-learn, etc.nOf particular interest are candidates with experience in one or more of the following domains:nRF communications and CEMAnElectronic or Electromagnetic Warfare (EW)nTracking and sensor data fusionnRadar signal processingnAcoustic data processing (including sonar)nDistributed sensing and processingnAutonomynHuman machine teamingnSpace-domain Awareness (SDA)nPositioning, navigation, and timingnPattern of life analyticsnWhy BAE Systems?nThis is a place where you’ll be able to make a real difference. You’ll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you’ll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments.nPlease be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks.nDivision overview: CapabilitiesnAt BAE Systems Digital Intelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of Digital Intelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector.nAs a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world. We all have a role to play in defending our clients, and this is yours.
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Executive Director, AI Data Science & Machine Learning (UK)
Posted 2 days ago
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Job Description
At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees.
We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development.
You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation.
At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses.
The Role
- As Executive Director on the AI Science team, you will lead the design and execution of high-impact AI and data science initiatives that directly shape TWG Global's competitive advantage. Reporting to the Managing Director of AI & Data, you will act as a senior technical leader—driving enterprise-critical projects, setting technical direction, and mentoring a small team of data scientists.
- You will partner closely with senior executives across the firm to align data science solutions with strategic priorities, ensuring adoption of advanced AI methods in a responsible and scalable way. This role requires deep technical expertise coupled with the ability to influence decision-makers and deliver measurable outcomes at the enterprise level.
- Key Responsibilities:
- Lead execution of flagship AI/ML projects that drive measurable value in financial services and adjacent sectors.
- Act as senior technical authority on advanced AI methods (generative AI, causal inference, LLM-based analytics, RAG, simulation).
- Translate complex business challenges into enterprise-level data science solutions with tangible ROI.
- Mentor and guide a small team of data scientists, fostering technical excellence, rigor, and responsible AI adoption.
- Partner with business leaders, MDs, and executive committees to ensure AI initiatives align with firm-wide priorities.
- Represent TWG Global in external technical forums and partnerships with universities, regulators, and technology leaders.
- Define standards for experimentation, reproducibility, and governance of AI solutions.
- Stay ahead of emerging trends in AI/ML, advising on adoption and firm-wide capability building.
Requirements
- 10–12+ years of experience in data science or machine learning, with proven delivery of enterprise-impact projects. Strong expertise in advanced machine learning, causal inference, deep learning, and statistical modeling.
- Demonstrated success leading end-to-end projects and influencing senior stakeholders.
- Hands-on technical depth in Python (or R), cloud-based platforms, and modern ML frameworks.
- Experience mentoring or leading small, high-performing teams.
- PhD in Data Science, Statistics, Computer Science, or a related quantitative discipline.
- Recognized as a technical thought leader through publications, external talks, or open-source contributions.
Preferred Experience:
- Experience working with Palantir platforms (Foundry, AIP, Ontology) to develop, analyze, and operationalize data-driven insights within enterprise-scale environments.
- Publications in top-tier AI/ML or data science conferences or journals (e.g., NeurIPS, ICML, KDD, AAAI, ACL, JASA). Recognized contributions to the open-source data science / ML ecosystem (e.g., libraries, frameworks, toolkits, widely adopted notebooks).
- Track record of thought leadership through invited talks, keynote presentations, or leadership roles in professional societies, conferences, or meetups.
- Experience establishing standards for reproducibility, experimentation, and responsible AI.
- Familiarity with vector databases, knowledge graphs, and LLM application frameworks for advanced analytics. Cloud or AI/ML certifications (e.g., AWS ML Specialty, Google Cloud ML Engineer, Azure AI Engineer) are a plus.
Benefits
- Work at the forefront of AI/ML innovation in life insurance, annuities, and financial services.
- Drive AI transformation for some of the most sophisticated financial entities.
- Be part of a high-growth AI startup scaling from 30 to 80+ employees.
- Competitive compensation, benefits, future equity options, and leadership opportunities.
This is a hybrid position based in the United Kingdom.
We offer a competitive base pay + a discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits.
TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Data science - Geology
Posted 2 days ago
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Job Description
We are seeking a talented and motivated individual with a background in either data science or geology to join our team in a cross-disciplinary role. This position offers a unique opportunity to apply advanced analytics and spatial modelling techniques to solve real-world challenges in the mining sector.
You will collaborate with development teams, product owners, and subject matter experts to transform geological and mining data into actionable insights, contributing to the development of cutting-edge technology that enhances subsurface understanding and decision-making.
Key Responsibilities
- Collaborate with cross-functional teams to integrate data science capabilities into software products.
- Analyse and interpret complex geological and mining datasets to generate meaningful insights.
- Contribute to innovative projects such as:
- Inferring rock properties from drilling data
- Merging primary and response rock properties using machine learning
- Applying self-learning models to geological data
- Build and deploy data-driven solutions that support geological decision-making.
- Apply spatial data analysis techniques to improve subsurface data interpretation.
- Background in data science with a focus on geostatistics/geology, or geology with strong data science experience
- Strong analytical and problem-solving skills
- Experience with data analysis, modelling, and visualisation tools
- Understanding of spatial and geospatial data concepts
- Ability to communicate technical insights to non-technical stakeholders
- Collaborative mindset and ability to work effectively in a team environment
- Familiarity with machine learning and self-learning algorithms
- Experience working with geological and mining datasets
- Understanding of software development tools and workflows
- Exposure to 3D data modelling or geological simulation tools
Staff Data Science
Posted 13 days ago
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Job Description
Salary: 110,000 - 130,000
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.
The Role
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.
What You'll Do
- 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
What We're Looking For
- 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
Package & Benefits
- 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.
Staff Data Scientist
Data Science Engineer
Posted 13 days ago
Job Viewed
Job Description
We are seeking a skilled Data Science Engineer with a strong background in data science and experience in developing AI solutions. While a background in life sciences or clinical knowledge is preferred, it is not mandatory. This is an exciting opportunity to work on cutting-edge projects, leveraging your expertise in LLMs (Large Language Models) and AI technologies.
Key Responsibilities
Develop and implement AI-driven solutions for complex data science challenges.
Work with Large Language Models (LLMs) to create and optimize intelligent systems.
Collaborate with cross-functional teams to ensure solutions meet project requirements.
Contribute to projects in the pharma/life sciences domain (if applicable).
Requirements
Minimum 5 years of experience in AI solution development.
Hands-on experience with Large Language Models (LLMs).
Proven track record as a Data Science Developer/Engineer.
Data science - Geology
Posted 2 days ago
Job Viewed
Job Description
We are seeking a talented and motivated individual with a background in either data science or geology to join our team in a cross-disciplinary role. This position offers a unique opportunity to apply advanced analytics and spatial modelling techniques to solve real-world challenges in the mining sector.
You will collaborate with development teams, product owners, and subject matter experts to transform geological and mining data into actionable insights, contributing to the development of cutting-edge technology that enhances subsurface understanding and decision-making.
Key Responsibilities
- Collaborate with cross-functional teams to integrate data science capabilities into software products.
- Analyse and interpret complex geological and mining datasets to generate meaningful insights.
- Contribute to innovative projects such as:
- Inferring rock properties from drilling data
- Merging primary and response rock properties using machine learning
- Applying self-learning models to geological data
- Build and deploy data-driven solutions that support geological decision-making.
- Apply spatial data analysis techniques to improve subsurface data interpretation.
- Background in data science with a focus on geostatistics/geology, or geology with strong data science experience
- Strong analytical and problem-solving skills
- Experience with data analysis, modelling, and visualisation tools
- Understanding of spatial and geospatial data concepts
- Ability to communicate technical insights to non-technical stakeholders
- Collaborative mindset and ability to work effectively in a team environment
- Familiarity with machine learning and self-learning algorithms
- Experience working with geological and mining datasets
- Understanding of software development tools and workflows
- Exposure to 3D data modelling or geological simulation tools
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Data Science Engineer
Posted 13 days ago
Job Viewed
Job Description
We are seeking a skilled Data Science Engineer with a strong background in data science and experience in developing AI solutions. While a background in life sciences or clinical knowledge is preferred, it is not mandatory. This is an exciting opportunity to work on cutting-edge projects, leveraging your expertise in LLMs (Large Language Models) and AI technologies.
Key Responsibilities
Develop and implement AI-driven solutions for complex data science challenges.
Work with Large Language Models (LLMs) to create and optimize intelligent systems.
Collaborate with cross-functional teams to ensure solutions meet project requirements.
Contribute to projects in the pharma/life sciences domain (if applicable).
Requirements
Minimum 5 years of experience in AI solution development.
Hands-on experience with Large Language Models (LLMs).
Proven track record as a Data Science Developer/Engineer.
Staff Data Science
Posted 13 days ago
Job Viewed
Job Description
Salary: 110,000 - 130,000
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.
The Role
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.
What You'll Do
- 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
What We're Looking For
- 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
Package & Benefits
- 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.
Staff Data Scientist
Data Science Manager
Posted 4 days ago
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Job Description
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.