What Jobs are available for Data Mining in the United Kingdom?

Aug 31, 2018

The Department of Public Health and Primary Care, in collaboration with the Statistical Laboratory, University of Cambridge is seeking to recruit a talented and ambitious post-doctoral researcher with a PhD in statistics, applied mathematics, computer science, engineering or machine learning or have equivalent qualifications or experience. The successful applicant will join a research project, funded by the Alan Turing Institute and the British Heart Foundation, the aim of which is to develop statistical and machine learning methods for the analysis and interpretation of digitised peripheral blood smear images. The project is a collaboration including scientists in the Department of Public Health and Primary Care (Dr William Astle, Dr Emanuele Di Angelantonio) and the Statistical Laboratory of the Department of Pure Mathematics and Mathematical Statistics (Prof. John Aston).

The goal of the collaboration is to derive biologically interpretable haematological parameters from clinical blood smears. The appointee will develop models and methods to identify cells in blood smear images, to classify cells according to type and to segment cellular images into components corresponding to different biological structures. S/he will implement computationally efficient algorithms to perform these inferences and apply the algorithms to real data.

30,000 smears have been acquired from participants in the COMPARE study of healthy NHS Blood and Transplant donors and the smears have been digitally imaged with the Sysmex CellaVision DM96 system. UK Biobank are collecting smears from 80,000 participants and digitising them using the same imaging system. The algorithms developed for the project will thus eventually be applicable to smears from 100,000 healthy people and will create a major resource for biomedical research.

Applicants should have experience developing statistical methodology or machine learning algorithms. Prior experience developing or applying image processing techniques is desirable but not essential. Applicants will need to demonstrate an ability to develop research approaches independently, draft high quality manuscripts for publication and give presentations at scientific conferences.

Appointment at Research Associate level is dependent on having a PhD (or equivalent experience), including those who have submitted but not yet received their PhD. Where a PhD has yet to be, awarded appointment will initially be made at research assistant and amended to research associate when the PhD has been awarded.

Funding for the post is available for 30 months from commencement in post.

Location – Department of Public Health and Primary Care, Strangeways Research Laboratory, Worts Causeway, Cambridge CB1 8RN (approx 2 miles south of city centre)

Informal enquiries may be directed to Dr William Astle ( ).

To apply online for this vacancy, please click on the ‘Apply’ button below. This will route you to the University’s Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Interview Date: Between 22nd October 2018 and 9th November 2018

Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents, which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including e-mail address and phone number, one of which must be your most recent line manager.

Please quote reference RH16629 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Overview

This range is provided by Burns Sheehan. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

£140,000 - £65,000 + 30% Bonus / Hybrid

Location: London

Onsite v Remote: 2-3 days per week in office

Our client, one of the most established names in their sector, are on the lookout for a Head of Data Science to lead the Data Science, Machine Learning & Advanced Analytics capability.

As the Head of Data Science, you will take over a number of teams and be the strategic leader in enhancing current Data Science methods as well as introducing new areas of revenue / progression for the Data Science department. On top of your responsibilities as Head of Data Science, you will also work closely with AI Engineering based teams as they and you explore possibilities within that sector.

If this Head of Data Science role appeals to you, we want to see the following:

• A brilliant track record at Head of level or above, leading numerous teams and having managers reporting into you.
• A background in Data Science, having been hands on at one point in your career (this role is not hands on).
• Demonstrable background of achieving a positive ROI with regards to your team’s work.
• Track record of developing and promoting individuals
• Experience at a notable business within their sector.
• Outstanding stakeholder management capabilities as well as the ability to interact at C-Suite & Board level.

This Head of Data Science position has great growth potential and we're looking for someone who can grow internally.

If this Head of Data Science position appeals to you - please don't hesitate & apply now for immediate consideration.

Head of Data Science / £1 ,000 - 65,000 + 30% Bonus / Hybrid

• Director

• Full-time

• Information Technology
• Industries
• Staffing and Recruiting

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Overview

Data Science and Machine Learning Consultant role at Experis UK. Location: Manchester city centre (Hybrid, 2-3 days on site) + North West client sites. Salary: £60,000 - £90,000 per annum. Security: SC required to start, must be willing to obtain DV.

Are you an experienced Data Scientist or Machine Learning Consultant who wants to apply their skills to projects that really matter? We're growing a specialist team in Manchester and are looking for people who want to shape the future of AI in Defence and National Security. You'll use your expertise to tackle mission-critical problems — applying advanced data science and machine learning to real-world challenges in text, audio, image and video. From building models and leading implementations through to mentoring colleagues and influencing new propositions, you'll play a key role in both delivery and practice growth.

• Hands-on experience in data science or ML, ideally in Defence, Security, public sector or academia.
• Strong technical grounding in ML methods (Transformers, CNNs, Generative AI, etc.) with proficiency in Python and libraries such as TensorFlow, PyTorch or scikit-learn.
• Familiarity with cloud-based toolkits (AWS, Azure, GCP).
• Strong communication skills - able to explain complex findings clearly to technical and non-technical stakeholders.
• Collaborative, curious and eligible for DV clearance.

• Work only on high-value, impactful Defence projects.
• Join at the ground floor of a growing team, with opportunities to lead and shape its direction.
• Enjoy progression, variety and hybrid flexibility in a modern city-centre location.

People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.

Get notified about new Machine Learning Consultant jobs in Manchester, England, United Kingdom.

Manchester, England, United Kingdom

Notes: This position is current and not a compilation of unrelated vacancies listed elsewhere.

Senior Consultant - Data Science & Machine Learning
Location: Manchester city centre (Hybrid, 2-3 days on site) + North West client sites
Salary: £60,000 - £90,000 per annum
Security: SC required to start, must be willing to obtain DV

Are you an experienced Data Scientist or Machine Learning Consultant who wants to apply their skills to projects that really matter? We're growing a specialist team in Manchester and are looking for people who want to shape the future of AI in Defence and National Security.

You'll use your expertise to tackle mission-critical problems - applying advanced data science and machine learning to real-world challenges in text, audio, image and video. From building models and leading implementations through to mentoring colleagues and influencing new propositions, you'll play a key role in both delivery and practice growth.

What we're looking for

• Hands-on experience in data science or ML, ideally in Defence, Security, public sector or academia.
• Strong technical grounding in ML methods (Transformers, CNNs, Generative AI, etc.) with proficiency in Python and libraries such as TensorFlow, PyTorch or scikit-learn.
• Familiarity with cloud-based toolkits (AWS, Azure, GCP).
• Strong communication skills - able to explain complex findings clearly to technical and non-technical stakeholders.
• Collaborative, curious and eligible for DV clearance.

Why this role?

• Work only on high-value, impactful Defence projects.
• Join at the ground floor of a growing team, with opportunities to lead and shape its direction.
• Enjoy progression, variety and hybrid flexibility in a modern city-centre location.

If you're passionate about advancing AI and want your work to make a real difference, we'd love to hear from you.

People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.

We are seeking a highly experienced and strategic Principal Product Manager - Data Science & Machine Learning to drive the vision, strategy, and execution of AI/ML-powered products. You will work closely with data scientists, engineers, and cross-functional teams to build scalable machine learning solutions that enhance user experience and drive business impact. Vista Tech plays a vital role in the Vista group operations by delivering and accelerating comprehensive technology solutions across all brands. Vista's end-to-end and click-to-flight solutions offer the industry's only comprehensive flight booking platform, seamlessly integrating global operations, and leveraging AI and machine learning to optimize pricing and fleet movement. Comprised of the Product Management, Engineering, and IT teams, Vista Tech's mission is to enhance transparency and accessibility in private aviation through the development of the world's largest digital private aviation marketplace. In achieving this, Vista Tech always ensures the utmost safety and efficiency for FLIGHT CREW, EMPLOYEES and Members, while fostering a culture of innovation and excellence.

• Define and own the product vision, strategy, and roadmap for machine learning and data science initiatives.
• Collaborate with engineering and data science teams to develop and deploy scalable AI/ML models.
• Identify customer and business problems that can be addressed through AI/ML solutions.
• Work closely with stakeholders to translate business requirements into actionable ML-driven features and capabilities.
• Drive experimentation, A/B testing, and iterative improvements to optimize model performance and product outcomes.
• Partner with engineering teams to ensure seamless integration of machine learning models into production environments.
• Develop success metrics and monitor the impact of machine learning initiatives on key business KPIs.
• Stay informed on the latest advancements in AI/ML technologies and identify opportunities to incorporate them into our products.
• Communicate effectively with executives and cross-functional teams to ensure alignment on product goals and priorities.
• Bachelor's degree in business, computer science, engineering, or a related field; MBA or relevant advanced degree is a plus.
• 8+ years of experience in product management, with at least 3 years focused on AI/ML or data science products.
• Strong understanding of machine learning concepts, data pipelines, and AI-driven applications.
• Experience working closely with data science and engineering teams to bring ML models to production.
• Proven ability to manage complex, technical projects with multiple stakeholders.
• Strong analytical and problem-solving skills, with a data-driven approach to decision-making.
• Excellent communication and stakeholder management skills.
• Experience with cloud-based ML platforms (e.g., AWS, GCP, Azure) is a plus.

Job Profile

We are seeking a highly experienced and strategic Principal Product Manager – Data Science & Machine Learning to drive the vision, strategy, and execution of AI/ML-powered products. You will work closely with data scientists, engineers, and cross-functional teams to build scalable machine learning solutions that enhance user experience and drive business impact.

Vista Tech plays a vital role in the Vista group operations by delivering and accelerating comprehensive technology solutions across all brands. Vista’s end-to-end and click-to-flight solutions offer the industry's only comprehensive flight booking platform, seamlessly integrating global operations, and leveraging AI and machine learning to optimize pricing and fleet movement. Comprised of the Product Management, Engineering, and IT teams, Vista Tech’s mission is to enhance transparency and accessibility in private aviation through the development of the world's largest digital private aviation marketplace. In achieving this, Vista Tech always ensures the utmost safety and efficiency for FLIGHT CREW, EMPLOYEES and Members, while fostering a culture of innovation and excellence.

• Define and own the product vision, strategy, and roadmap for machine learning and data science initiatives.
• Collaborate with engineering and data science teams to develop and deploy scalable AI/ML models.
• Identify customer and business problems that can be addressed through AI/ML solutions.
• Work closely with stakeholders to translate business requirements into actionable ML-driven features and capabilities.
• Drive experimentation, A/B testing, and iterative improvements to optimize model performance and product outcomes.
• Partner with engineering teams to ensure seamless integration of machine learning models into production environments.
• Develop success metrics and monitor the impact of machine learning initiatives on key business KPIs.
• Stay informed on the latest advancements in AI/ML technologies and identify opportunities to incorporate them into our products.
• Communicate effectively with executives and cross-functional teams to ensure alignment on product goals and priorities.

• Bachelor’s degree in business, computer science, engineering, or a related field; MBA or relevant advanced degree is a plus.
• 8+ years of experience in product management, with at least 3 years focused on AI/ML or data science products.
• Strong understanding of machine learning concepts, data pipelines, and AI-driven applications.
• Experience working closely with data science and engineering teams to bring ML models to production.
• Proven ability to manage complex, technical projects with multiple stakeholders.
• Strong analytical and problem-solving skills, with a data-driven approach to decision-making.
• Excellent communication and stakeholder management skills.
• Experience with cloud-based ML platforms (e.g., AWS, GCP, Azure) is a plus.

Get AI‑powered advice on this job and more exclusive features.

Start date: 7 September 2026

Salary: £38,000 per annum

Duration: 12‑month fast track

Data Science is at the heart of decision making and customer treatments at Sky. We provide analytics to inform customer growth strategies, build tooling to drive personalised customer treatments, and champion test‑and‑learn through experimentation.

On our Data Science programme, you’ll have exposure across the business as you work with stakeholders to help drive decision making using the power of data and insights. You’ll learn advanced analytical techniques and use ground‑breaking predictive algorithms to deliver valuable insight to the business. You could be helping to build our next data product, predicting future customer behaviour, or unlocking the value of our content. You don’t have to specialise too soon. Instead, you get to experience everything that makes data science special at Sky before deciding on the area that’s right for you.

You’ll join our fast‑track programme designed for those who know they want to work in data science. You’ll complete two six‑month rotations in the Data Science & Analytics department within Sky Data, across the following teams:

• Consumer – Collaborate closely with our commercial teams to develop data science models and data products used for strategic decision‑making.
• Content – Utilise viewing data to craft personalised customer experiences, enabling customers to discover more content they adore.
• Product & Operations – Partner with product teams to create innovative data tools and enhance the efficiency and performance of products our customers use in their daily lives.

This structure gives you the opportunity to work across two teams, providing broad exposure to different areas of Data Science at Sky.

You’re a graduate from any degree field, or will soon be. You may have studied maths, statistics, computer science, economics, or physics, or be able to demonstrate your understanding of data through personal or university projects. What matters most is your passion for data, your drive, and the ambition you bring to the team.

• Logical, end‑to‑end thinker
• Hard‑working problem‑solver with numerical, presentation, and IT skills
• Previous experience in data manipulation using Python, SQL, R, SAS, Matlab
• Academic experience in machine learning, including supervised/unsupervised learning, regression, decision trees, random forests, and boosting
• Enjoy task‑focused delivery, a fast‑paced environment, and overcoming challenges
• Collaborative, excellent with people, and keen on following recent trends in the market

Right to work: To be eligible for this role, you must have the appropriate right to work in the UK for the duration of the programme. Please note that Sky does not offer sponsorship for this programme.

Applications open now. Application deadline: 3 November 2025. Due to high application volumes, we may close applications earlier than expected — but not before 20 October 2025.

Start date

7 September 2026

£38,000 per annum

12-month fast track

Data Science is at the heart of decision making and customer treatments at Sky. We provide analytics to inform customer growth strategies, build tooling to drive personalised customer treatments, and champion test-and-learn through experimentation.

On our Data Science programme, you’ll have exposure across the business as you work with stakeholders to help drive decision making using the power of data and insights. You’ll learn advanced analytical techniques and use ground-breaking predictive algorithms to deliver valuable insight to the business. You could be helping to build our next data product, predicting future customer behaviour, or unlocking the value of our content.

You don’t have to specialise too soon. Instead, you get to experience everything that makes data science special at Sky before deciding on the area that’s right for you.

You’ll join our fast-track programme designed for those who know they want to work in Data Science. You’ll complete two six-month rotations in the Data Science & Analytics department within Sky Data, across the following teams:

• Consumer – Collaborate closely with our commercial teams to develop data science models and data products used for strategic decision-making

• Content – Utilise viewing data to craft personalised customer experiences, enabling customers to discover more content they adore

• Product & Operations – Partner with product teams to create innovative data tools and enhance the efficiency and performance of products our customers use in their daily lives

This structure gives you the opportunity to work across two teams, providing broad exposure to different areas of Data Science at Sky.

You’re a graduate from any degree field, or will soon be. You may have studied maths, statistics, computer science, economics, or physics, or be able to demonstrate your understanding of data through personal or university projects. What matters most is your passion for data, your drive, and the ambition you bring to the team.

Other skills we value include:

• Logical, end-to-end thinker

• Hardworking problem-solver with numerical, presentation, and IT skills

• Previous experience in data manipulation using Python, SQL, R, SAS, Matlab

• Academic experience in machine learning, including supervised/unsupervised learning, regression, decision trees, random forests, and boosting

• Enjoy task-focused delivery, a fast-paced environment, and overcoming challenges

• Collaborative, excellent with people, and keen on following recent trends in the market

To be eligible for this role, you must have the appropriate right to work in the UK for the duration of the programme. Please note that Sky does not offer sponsorship for this programme.

Applications open now
Application deadline: 3 November 2025

Due to high application volumes, we may close applications earlier than expected — but not before 20 October 2025.

Note: You can only apply to one programme.

Overview

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.

Job Title: Senior Research Scientist

Requisition ID:

Location: Great Baddow – Hybrid working 2 days onsite per week

Grade: GG11

Referral Bonus: £5,000

BAE Systems Digital Intelligence Innovation and Technology is seeking to recruit a senior researcher to join our rapidly expanding Data and Decision Support Capability.

You 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.

The 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.

The 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.

The 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.

Typical Responsibilities:

• Lead technical delivery of projects, leading junior researchers. Prepare and deliver technical reports, technical proposals and supporting material
• Lead novel research in given topic areas; this can be in partnership with other (internal or external) suppliers and/or leading UK Universities
• Develop prototypes and proof of concept demonstrators
• Take ownership of tasks in projects and deliver to challenging standards
• Work effectively both on self-directed projects and as part of a project team
• Effectively present results to both technical and non-technical audiences
• Undertake mentoring of junior staff working on similar research topics
• Patent and/or publish novel concepts and research findings, where appropriate

Essential Knowledge, Skills and Experience:

• PhD or equivalent industry experience in a relevant discipline
• Several 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 PhD
• Experience in software development for proof of concept in Python
• Experience with machine and deep learning frameworks: TensorFlow, PyTorch, scikit-learn, etc.

Of particular interest are candidates with experience in one or more of the following domains:

• RF communications and CEMA
• Electronic or Electromagnetic Warfare (EW)
• Tracking and sensor data fusion
• Radar signal processing
• Acoustic data processing (including sonar)
• Distributed sensing and processing
• Autonomy
• Human machine teaming
• Space-domain Awareness (SDA)
• Positioning, navigation, and timing
• Pattern of life analytics

Why BAE Systems?

This 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.

Please 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.

Division overview: Capabilities

At 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.

As 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.