Machine learning jobs in EastbourneCreate job alerts

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI successStep 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. Your guaranteed future After completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. We guarantee a job offer upon completion or 100% of your course fees refunded. We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. Ready to future-proof your career? If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps.

Overview Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around the world, access to the very best data, content, and insights. In turn, improving how sports fans interact with their favourite sports teams and competitions. How do we add value? * Media outlets add a little magic to their coverage with our stats and graphics packages. * Sportsbooks can offer better predictions and more accurate odds. * The world's top coaches are known to use our data to make critical team decisions. * Sports commentators can engage with fans on a deeper level, using our stories and insights. Anywhere you find sport, Stats Perform is there. However, data and tech are only half of the package. We need great people to fuel the engine. We succeeded thanks to a team of amazing people. They spend their days collecting, analyzing, and interpreting data from a wide range of live sporting events. If you combine this real-time data with our 40-year-old archives, elite journalists, camera operators, copywriters, the latest in AI wizardry, and a host of 'behind the scenes' support staff, you've got all the ingredients to make it a magical experience! Responsibilities: * Researching, developing, and implementing innovative machine learning techniques to Stats Perform’s wealth of sports data, across various sports, such as soccer and tennis. * Productizing your models alongside engineers and product teams, in a quick and efficient way. * Presenting your solutions to other internal teams, broadening AI proficiency in the company. * Providing technical guidance to various teams on the artificial intelligence approaches that our team uses. * Identify new AI solutions for emerging problems, create requirements and propose an outline a roadmap for delivering the project. * Support, train and mentor team members on best machine learning implementation practices. Required Qualifications: * Master’s or PhD in data science, computer science, mathematics, statistics or related STEM fields. * 3+ years of experience working as a data scientist (or similar role). * Expert proficiency of Python and experience using SQL, alongside using common ML/AI packages (TensorFlow, PyTorch, XGBoost, etc.). * Familiarity with statistical (e.g. GLM, GAMs) and deep learning techniques (e.g. neural networks, transformers, diffusion models, etc.). * Comfortable designing and creating neural network architectures, tree-based methods and applying upcoming technologies from scratch. We want you to be the creator of the next generation of AI models from Stats Perform! * Experience deploying models in cloud environments (such as AWS/Google Cloud), making models production-ready and integrating them in end-to-end cloud pipelines. At Stats Perform you will be co-responsible for ensuring the models you have created are performing in a real-world environment. * Fluency in English; excellent verbal and written communication and presentation skills, including an ability to effectively communicate with both business and technical teams, and both internal and external stakeholders. Desired Qualifications: * Experience with sports event and/or tracking data and deep interest in sports, in particular soccer and tennis. * Knowledge of the sports analytics landscape and latest research. We want to stay on top of the latest research in the sports world and apply the latest techniques in our projects. Why work at Stats Perform? We love sports, but we love diverse thinking more! We know that diversity brings creativity, so we invite people from all backgrounds to join us. At Stats Perform you can make a difference, by using your skills and experience every day, you'll feel valued and respected for your contribution. We take care of our colleagues We like happy and healthy colleagues. You will benefit from things like Mental Health Days Off, ‘No Meeting Fridays,’ and flexible working schedules. We pull together to build a better workplace and world for all. We encourage employees to take part in charitable activities, utilize their 2 days of Volunteering Time Off, support our environmental efforts, and be actively involved in Employee Resource Groups. Diversity, Equity, and Inclusion at Stats Perform By joining Stats Perform, you'll be part of a team that celebrates diversity. A team that is dedicated to creating an inclusive atmosphere where everyone feels valued and welcome. All employees are collectively responsible for developing and maintaining an inclusive environment. That is why our Diversity, Equity, and Inclusion goals underpin our core values. With increased diversity comes increased innovation and creativity. Ensuring we're best placed to serve our clients and communities. Stats Perform is committed to seeking diversity, equity, and inclusion in all we do.

Overview Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around the world, access to the very best data, content, and insights. In turn, improving how sports fans interact with their favourite sports teams and competitions. How do we add value? * Media outlets add a little magic to their coverage with our stats and graphics packages. * Sportsbooks can offer better predictions and more accurate odds. * The world's top coaches are known to use our data to make critical team decisions. * Sports commentators can engage with fans on a deeper level, using our stories and insights. Anywhere you find sport, Stats Perform is there. However, data and tech are only half of the package. We need great people to fuel the engine. We succeeded thanks to a team of amazing people. They spend their days collecting, analyzing, and interpreting data from a wide range of live sporting events. If you combine this real-time data with our 40-year-old archives, elite journalists, camera operators, copywriters, the latest in AI wizardry, and a host of 'behind the scenes' support staff, you've got all the ingredients to make it a magical experience! Responsibilities: Financial Reporting & Analysis * Own monthly P&L reporting for non-compensation expenses , ensuring accuracy, completeness, and timely delivery * Support monthly financial close activities and variance analysis across all expense categories * Prepare detailed expense analysis and commentary for management reporting packages * Monitor expense trends and proactively identify cost-saving opportunities or budget risks * Assist with ad-hoc financial analysis and reporting requests Budgeting & Forecasting * Support the annual budgeting process for non-compensation expenses , partnering with budget owners across the organization * Support quarterly forecast updates for expense categories, ensuring alignment with business activities and strategic priorities * Develop and maintain budget tracking tools and documentation * Ensure budget assumptions are well-supported, defensible, and properly documented Business Partnering - Internal Functions * Serve as the primary FP&A partner for Finance, HR, Facilities, Legal, Integrity, and Content teams * Build strong relationships with budget owners and department heads across internal support functions * Provide financial insights, budget tracking, and decision support to partnered functions * Translate departmental needs into financial requirements and communicate financial constraints clearly * Participate in business planning discussions and provide financially sound recommendations * Support business case development and ROI analysis for internal initiatives Essential Experience: * 3-5+ years of progressive finance experience, with exposure to FP&A, financial reporting, or management accounting * Part-Qualified (preferably CIMA) contemplated * Demonstrated experience managing expense budgets and reporting processes * Strong analytical skills with ability to investigate variances and identify root causes * Experience partnering with non-finance stakeholders and translating financial concepts for diverse audiences * Proven ability to manage multiple priorities and deliver high-quality work under deadlines * Background in media, sports, technology, or professional services environment is advantageous Desired Qualifications: * Strong financial analysis and modelling skills with advanced Excel proficiency * Detail-oriented with excellent organizational skills and high degree of accuracy * Solid understanding of P&L statements, expense accounting, and budgeting processes * Strong communication skills—able to explain financial information clearly to non-finance partners * Proactive and solutions-oriented mindset with ability to work independently * Collaborative working style with ability to build effective relationships across functions * Intellectually curious with desire to understand business operations and commercial drivers * Comfortable working in a fast-paced, dynamic environment * Professional maturity and sound business judgment Why work at Stats Perform? We love sports, but we love diverse thinking more! We know that diversity brings creativity, so we invite people from all backgrounds to join us. At Stats Perform you can make a difference, by using your skills and experience every day, you'll feel valued and respected for your contribution. We take care of our colleagues We like happy and healthy colleagues. You will benefit from things like Mental Health Days Off, ‘No Meeting Fridays,’ and flexible working schedules. We pull together to build a better workplace and world for all. We encourage employees to take part in charitable activities, utilize their 2 days of Volunteering Time Off, support our environmental efforts, and be actively involved in Employee Resource Groups. Diversity, Equity, and Inclusion at Stats Perform By joining Stats Perform, you'll be part of a team that celebrates diversity. A team that is dedicated to creating an inclusive atmosphere where everyone feels valued and welcome. All employees are collectively responsible for developing and maintaining an inclusive environment. That is why our Diversity, Equity, and Inclusion goals underpin our core values. With increased diversity comes increased innovation and creativity. Ensuring we're best placed to serve our clients and communities. Stats Perform is committed to seeking diversity, equity, and inclusion in all we do.

About the job Job summary Senior DevOps Engineer Are you passionate about collaborative working and problem solving? Do you enjoy using your technical skills to help teams work more effectively, and get software into the hands of users with speed and stability? Are you looking for a new role in an organisation that treats you as an individual and supports you on your professional and career development journey? Then this is the role for you! We have an exciting opportunity for a DevOps Engineer, within the Platform Engineering group, during the IPO digital transformation journey. Working within an established team, this role provides an opportunity to turn innovative ideas into customer value using a range of technologies and delivery platforms. Key Tech: Azure DevOps YAML Pipelines, Azure, Terraform, scripting, deploying to Azure Machine Learning Working Style This role will be carried out in-line with IP O Hybrid working arrangements where staff are currently expected to spend at least 20% of their time working onsite from one of our offices. This role is based in our Newport Office . The requirement for attendance at an office location can vary by role so we would encourage candidates to discuss working arrangements with the recruiting manager to agree a reasonable balance between working from home and the office. Job description Main duties consist of but are not limited to: • Support all aspects of the software development lifecycle, applying DevOps principles and to lead on developing, implementing, enhancing and managing DevOps practices following agreed processes and best practices., • Applying industry best practices and patterns across infrastructure and application components e.g. availability, security, performance and scalability., • Leading on the design, release and implementation of automated, repeatable, efficient delivery pipelines and holds responsibility for the management, delivery and improvements of the deployments onto Production., • Lead delivery, integration, administration and configuration of DevOps tools, seeking continual improvement and ensuring effective transition onto operational support (where applicable). This includes tools for source control, build, CI & CD support, code reviews, security scans, test automation, monitoring and agile management etc., • Implementing and configuring DevOps specific monitoring, alerting, auditing and notification strategies and be an advocate for security and performance standards in the organisation, • Contributing to technical decisions and directions in a collaborative team environment, including solution architecture, estimations, product planning, user stories (requirement) creation., • Attending Team and Agile Scrum ceremonies., • Sharing knowledge and expertise and providing mentorship and training to other members of the team, enabling them to work in an automated, repeatable fashion., • Strong understanding of DevOps principles and experience of working in a DevOps or iterative development culture., • Excellent knowledge and proven experience implementing continuous integration (CI) and continuous deployment (CD) tools, including pipeline design and administration., • Experience with automated testing and embedding this in CI/CD pipelines., • Demonstrable experience in service support including troubleshooting and incident resolution., • Experience in identification and tracking of risks and issues., • Substantial development or scripting experience in one or more of the following:, • Python, • Bash, • PowerShell, • Substantial experience in administration and configuration of Azure DevOps Pipelines (preferred) or other CI/CD orchestration tools., • Substantial experience supporting the build and deployment of, or coding in one or more of the following or equivalent:, • Python, • Net Core / C#, • NextJs / Node frontend, • Experience with Infrastructure as Code such as Terraform, • Experience in containerisation technologies and platforms such as Docker or Azure container services such as Azure App Services, Azure Functions, Azure Logic Apps or Azure Container Registry or equivalent., • Experience in managing and supporting distributed source code repositories (Git)., • Changing and Improving, • Making Effective Decisions, • Unlimited Pluralsight video learning access, • Access to Microsoft's ESI training suite, • Hybrid working with no core hours, • Substantial support for career progression, • 25 days annual leave moving to 30 days in annual increments, • UK nationals, • nationals of the Republic of Ireland, • nationals of Commonwealth countries who have the right to work in the UK, • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS) (opens in a new window), • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS), • individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020

Overview Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around the world, access to the very best data, content, and insights. In turn, improving how sports fans interact with their favourite sports teams and competitions. How do we add value? * Media outlets add a little magic to their coverage with our stats and graphics packages. * Sportsbooks can offer better predictions and more accurate odds. * The world's top coaches are known to use our data to make critical team decisions. * Sports commentators can engage with fans on a deeper level, using our stories and insights. Anywhere you find sport, Stats Perform is there. However, data and tech are only half of the package. We need great people to fuel the engine. We are seeking a high‑calibre Newly Qualified Group Reporting Accountant to join our Group Finance function. This role is ideally suited to individuals who have recently completed their ACA/ACCA qualification - most likely from an external audit background who are looking for their first move into industry. You will play a key part in the Group’s monthly, quarterly and annual financial reporting cycles, supporting consolidation, technical accounting, statutory reporting, process improvement and controls. This is a fantastic opportunity to apply your strong technical foundation in a fast‑moving, complex and high‑visibility group environment. Responsibilities: Group Reporting & Consolidation: * Support the preparation of monthly, quarterly and annual Group consolidated results under IFRS. * Prepare analysis of subsidiaries financial results, ensuring accuracy, completeness and consistency. * Prepare consolidation adjustments for review and implementation by the Head of Group Reporting. * Support improvements to consolidation models and reporting structures. Statutory Accounts & Audit Support: * Support preparation of Group and entity statutory accounts, ensuring compliance with IFRS and local requirements. * Prepare audit support schedules and liase with external auditors. * Assist in technical queries raised during the audit process. Technical Accounting: * Prepare first-draft technical accounting analyses for complex and non-routine transactions (including leases, revenue, impairments, and business combinations) for review by the Head of Group Reporting. * Support maintenance and development of the Group Accounting Manual. * Keep up to date with changes in IFRS and assess their impact on the Group. Financial Controls & Process Improvement: * Assist with periodic Balance Sheet and financial controls reviews. * Help support the strengthening of the Group’s financial control environment, including documentation and compliance. * Identify opportunities for automation, simplification and efficiency gains across reporting processes. Cross‑Functional Collaboration: * Partner with FP&A, Tax, Treasury, Legal and local finance teams to ensure accuracy and alignment in reporting. * Support ad hoc finance projects such as system enhancements, M&A integrations, group reorganisation, and data‑quality initiatives. Required Qualifications: * Strong experience auditing consolidated groups, international businesses, or complex entities is highly desirable. * Strong technical knowledge and solid understanding of IFRS (particularly consolidation, financial instruments, revenue, leases). * Confident working with large datasets and comfortable with Excel. * Experience with ERP or consolidation tools is helpful but not essential (training will be provided). * Newly qualified ACA/ACCA. Desired Qualifications: * Excellent analytical and problem‑solving skills with strong attention to detail and pride in accuracy. * Ability to prioritise and work to tight deadlines in a fast‑paced environment. * Strong communication skills with the confidence to engage with stakeholders across the Group. * Proactive, eager to learn and willing to take ownership of tasks. * Comfortable transitioning from audit into industry and applying technical knowledge in a commercial environment. * The position will be based in London with an Hybrid scheme of work. Why work at Stats Perform? We love sports, but we love diverse thinking more! We know that diversity brings creativity, so we invite people from all backgrounds to join us. At Stats Perform you can make a difference, by using your skills and experience every day, you'll feel valued and respected for your contribution. We take care of our colleagues. We like happy and healthy colleagues. You will benefit from things like Mental Health Days Off, ‘No Meeting Fridays,’ and flexible working schedules. We pull together to build a better workplace and world for all. We encourage employees to take part in charitable activities, utilize their 2 days of Volunteering Time Off, support our environmental efforts, and be actively involved in Employee Resource Groups. Diversity, Equity, and Inclusion at Stats Perform. By joining Stats Perform, you'll be part of a team that celebrates diversity. A team that is dedicated to creating an inclusive atmosphere where everyone feels valued and welcome. All employees are collectively responsible for developing and maintaining an inclusive environment. That is why our Diversity, Equity, and Inclusion goals underpin our core values. With increased diversity comes increased innovation and creativity. Ensuring we're best placed to serve our clients and communities. Stats Perform is committed to seeking diversity, equity, and inclusion in all we do.

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI success Step 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. Your guaranteed future After completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. We guarantee a job offer upon completion or 100% of your course fees refunded. We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. At a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £124, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Ready to future-proof your career? If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps. ‘Please note that this is a training course and fees apply

Data Scientist Placement Programme - No Experience Required Our training will help you kick-start a new career as a Data Scientist. We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply

We're looking for a Machine Learning Engineer to design, build, and deploy data-driven models that solve complex problems and enhance real-world performance. Develop, train, and optimise machine learning models to support business and technical objectives.

Develop, train, and optimise machine learning models to support business and technical objectives. We're looking for a Machine Learning Engineer to design, build, and deploy data-driven models that solve complex problems and enhance real-world performance.

Experience working with data, training and evaluating machine learning models. Previously registered audio machine learning patents. Experience in commercial machine learning research and development.

Machine Learning Engineer (Python TensorFlow SaaS) Cambridge to £90kDo you have experience of solving real-world problems via Machine Learning techniques?You could be progressing your career at a highly successful SaaS tech company that provides AI and ML products for automotive innovators to desig

Senior Machine Learning EngineerLocation: LondonWork model: Hybrid | 2 days on site Salary: Up to £110,000 + PackageSole British National Eligible for security clearanceWho youll be working with:Youll join a team of expert AI engineers delivering high-stakes, mission-critical AI solutions. As a Se

Job title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating full

In role, you will head up the Data Science/Machine Learning team and drive the implementation of AI into all practices across the company, including their core SaaS products which are used by many wealth management, banks and FinTech firms. The Role – Head of Machine Learning. Good experience in M

Contract Machine Learning Engineer.

Location: LondonWork model: Hybrid| 3 days travel per week across the UK, with expenses fully coveredSalary: Up to £125,000 + PackageSole British National - Eligible for security clearanceWho youll be working with:As a Lead Machine Learning Engineer, youll drive the technical direction of complex A

SAP IBP Demand Consultant - Machine Learning Integration (BPSS) Rate: £90/hr | Mostly WFH (some visits to Walton-on-Thames) Clearance: BPSSWe are seeking a SAP IBP Demand Consultant to support the productionisation of a new external Python-based forecasting algorithm.

They work closely with governments and major organisations to solve complex, high-impact problems using machine learning and data science. Build and deploy machine learning systems that are used in real-world production environments.

Stay current with academic and industry advances in machine learning, NLP, and deep learning, and guide the team in applying them to real‑world challenges. Proficiency in machine learning, NLP, and deep learning algorithms, with experience using frameworks such as TensorFlow or PyTorch. We are see

We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Introducing Machine Learning & AI at Trainline 👋. Machine learning is at the heart of Trainline’s mission to help millions of customers make sustainable travel choic

Conduct original research at the intersection of materials science and machine learning, leading to publications in top conferences and journals (e. Master's or PhD (or currently pursuing) in Materials Science, Computational Chemistry, Chemical Physics, or related field, with demonstrated exposure t

We're hiring Machine Learning Researchers for our quantitative modelling team. You will design, test, and implement new machine learning models in Python, continually improving our existing state-of-the-art solutions. A strong mathematical understanding of the fundamentals of Machine Learning and co

Are you passionate about building impactful AI solutions and pushing the boundaries of machine learning? Do you want your work to deliver real-world value across critical national infrastructure?. Senior Machine Learning Engineer. In this role, you will design, develop, and deploy machine learning a

You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads map onto future NVIDIA platforms. Familiarity with deep learning frameworks such as TensorFlow and PyTorch, and experience working with portable graph formats such as ONNX. I

Hands-on experience applying machine-learning methods to real-world problems. We are a technology-focused company applying modern machine-learning techniques to problems in molecular science and early-stage drug discovery. The team brings together experience in machine learning, software engineering

As a Senior Machine Learning Engineer, you’ll focus on designing and implementing reusable ML templates, deployment patterns, and MLOps tooling that support scalable, reliable, and secure ML solutions across the organisation. Professional experience as a Machine Learning Engineer, ideally with exp

As a Senior Machine Learning Engineer, you will sit at the intersection of data science, platform engineering, and production systems.

You think in time series, signals, and regimes.You care about insight quality, not academic purity.You want your models tested by markets, not papers.If you dislike messy data and real-world constraints, this is not your role.You will build quantitative and ML-driven insight systems using structured

BS, MS or PhD in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience). Applied Machine Learning Engineer, Developer Publications. London, England, United Kingdom Machine Learning and AI.

Data Science, Machine Learning, Research and Development, Algorithms, Python, Stakeholder Engagement. Working as part of a small, well-funded research group within a growing area of the business, this team delivers innovative data science and machine learning solutions to complex customer problems.

As a Machine Learning Scientist, you will work on building state-of-the-art models to power Depop's app, serving millions of personalised recommendations to users daily. Research, design and deliver machine learning solutions to improve our recommendations. Solid understanding of machine learning co

We are looking for an unrelenting Senior/Lead Engineer to bridge the gap between infrastructure, UX, and machine learning to ship these groundbreaking features to our global customer base. Deep knowledge of server-side architecture and Machine Learning.

Senior Machine Learning Engineer (Level 2/3). Senior Machine Learning Engineer (Level 2/3).

You hold a PhD (or equivalent experience) in machine learning, computational biology, or structural biology, with a proven track record of applying machine learning to real-world protein structure or drug discovery challenges. Principal Machine Learning Engineer, Structural Biology | Pharma/BioTech

Olive Jar Digital is seeking a Machine Learning Engineer to help design, build, and refine AI prototypes across multiple Discovery and Alpha initiatives.

Senior Machine Learning Systems Engineer.

Machine Learning Engineer – Deliveroo Ads. High standards, collaboration, flexible working and continuous learning. In this role, you’ll enable high-quality machine decision-making to maximise ad relevance, performance, and revenue for our global partners.

Understand requirements from various stakeholders across the business, designing machine learning solutions to power features like real‑time feed personalisation or search relevance. Depop is looking for a dedicated Machine Learning Scientist to join our Ranking ML team in the UK. Research, design

The Reinforcement Learning Team at the Huawei London Research Centre is seeking a highly skilled and research-driven Machine Learning Scientist to join our team. PhD (or equivalent research experience) in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Deep expertise

Our AI-first platform is transforming how care is delivered, combining advanced machine learning with intuitive product design to make healthcare more personalised, efficient, and scalable.

As a Machine Learning Test Engineer, you will play a critical role in scaling and advancing testing infrastructure for large-scale AI projects. You will work on complex, high-volume test suites across multiple platforms, ensuring that machine learning frameworks operate reliably and efficiently. Pro

This role is a part-time Machine Learning Engineer position, offering $50–$100/hour for 30+ hours/week, primarily weekdays. Requirements include an active or recently graduated PhD, expertise in data science, machine learning, and Python, along with strong analytical skills. Design challenging, re

Trainee and Junior Machine Learning Engineers. Machine Learning, Artificial Intelligence, Data Science, and Python development. Support development of machine learning models and AI solutions.

Conduct ML experiments using programming languages with machine learning libraries. Senior Machine Learning Engineer at Datatonic. As a Senior Machine Learning Engineer, you’ll know how to engineer beautiful code in Python and take pride in what you produce.

Define the long‑term technical strategy for high‑performance Machine Learning systems. Significant hands‑on experience optimising and debugging deep learning models. Deep understanding of at least one major deep learning framework (ideally PyTorch).

Graduate AI and Machine Learning Engineer. You'll also assist our team in the design and development of machine learning processes in a variety of client environments. Support the management of infrastructure and orchestration pipelines needed to automatically train and bring machine learning models

I'm Jack, an AI Career Agent that gets to know you on a quick call, learning what you're great at and what you want from your career.

A technology services company is seeking a Machine Learning Engineer to design and deploy machine learning models.