1,176 to 1,200 of 2,528 Machine Learning Jobs in England

more paying customers through global partnerships. Bango revolutionized the monetization of digital content and services, by opening-up online payments to mobile phone users worldwide. Today, the Digital Vending Machine is driving the rapid growth of the subscriptions economy, powering choice and control for subscribers. The world's largest content providers, including Amazon, Google and Microsoft trust Bango technology … to reach subscribers everywhere. Bango, where people subscribe. Role As Product Data Analyst you will play a key role in building the Bango Digital Vending Machine that makes Bango the place where people subscribe. Reporting to VP Product, you will play a pivotal role in supporting discovery of new product ideas using data. You will analyze and identify trends … turning raw data into actionable insights that drive strategic decisions across the business. Responsibilities Discover opportunities in data for Bango to drive the performance of the Bango Digital Vending Machine and new data product opportunities. Conduct in-depth exploratory, descriptive, and diagnostic analysis to identify patterns, trends, and anomalies. Build and maintain dashboards and reports to track key performance More ❯

impact challenges, from demand forecasting and energy usage optimisation, to predictive maintenance and sustainability modelling. Collaborating with data engineers, product teams, and energy specialists, you'll design and deploy machine learning models that enable smarter grid management, better customer insight, and greener energy solutions. What's in it for you? Hybrid working model with flexibility to suit your … driven team at the forefront of energy tech Support for continuous learning , certifications, and personal growth Skills and Experience Strong background in Python and SQL , with solid applied ML experience Experience working with time-series data , forecasting, or optimisation models Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) Strong communication skills and ability to collaborate with cross-functional More ❯

by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example … supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill A leadership mindset focussed on growing the technical capabilities of the team; a More ❯

different audiences (including writing specs, knowledge base articles, and release notes) You have experience and/or desire to develop skills in the areas of accessibility, using AI/machine learning, use of data analytics, accessibility, mobile app development You love solving problems, have an inquisitive mind, and are highly logical and technical in your thinking and approach … experienced and successful colleagues and leaders We promise to offer career development and progression opportunities as the business continues to grow We provide access to a wide variety of learning resources & materials (including LinkedIn Learning licence), plus an individual annual training budget which can be spent towards your own professional development Great benefits including a Bonus Scheme, Company More ❯

different audiences (including writing specs, knowledge base articles, and release notes) You have experience and/or desire to develop skills in the areas of accessibility, using AI/machine learning, use of data analytics, accessibility, mobile app development You love solving problems, have an inquisitive mind, and are highly logical and technical in your thinking and approach … experienced and successful colleagues and leaders We promise to offer career development and progression opportunities as the business continues to grow We provide access to a wide variety of learning resources & materials (including LinkedIn Learning licence), plus an individual annual training budget which can be spent towards your own professional development Competitive base salary Great benefits including a More ❯

around the world to protect millions of customer accounts and billions of transactions annually. Leveraging proven data science, including our proprietary consortium data, our customers use our risk-based, machine learning platform to deliver the highest fraud detection rates, lowest false positive rates, and lowest customer intervention in the industry. We stop fraud, not customers. See what others … results, and takes corrective action when necessary. Technical Proficiency : Possesses a solid understanding of their role and responsibilities, demonstrating competence in performing tasks and utilizing relevant technical skills. Continuous Learning : Takes personal responsibility for learning and development. Recognizes personal strengths and areas for improvement, actively seeks feedback, and embraces opportunities to learn. Effective Communication : Demonstrates strong facilitation and More ❯

platforms, and global partners. Developing GPU-powered algorithms for high-performance modelling at scale. Exploring applications of Large Language Models (LLMs) in media and measurement contexts. Designing and implementing machine learning solutions that enhance our product capabilities and operational intelligence. As part of a collaborative and technically strong team, you’ll work closely with engineers, product managers, and … world impact—this is a great fit for someone who wants to build, experiment, and push boundaries in applied data science. Key Responsibilities Design, prototype, and optimise statistical and ML models for integration into production workflows. Explore and apply LLMs and emerging AI techniques to enhance media and audience measurement use cases. Collaborate with cross-functional teams to ensure model … in model development. Take ownership of project areas while working in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience (or More ❯

platforms, and global partners. Developing GPU-powered algorithms for high-performance modelling at scale. Exploring applications of Large Language Models (LLMs) in media and measurement contexts. Designing and implementing machine learning solutions that enhance our product capabilities and operational intelligence. As part of a collaborative and technically strong team, you’ll work closely with engineers, product managers, and … world impact—this is a great fit for someone who wants to build, experiment, and push boundaries in applied data science. Key Responsibilities Design, prototype, and optimise statistical and ML models for integration into production workflows. Explore and apply LLMs and emerging AI techniques to enhance media and audience measurement use cases. Collaborate with cross-functional teams to ensure model … in model development. Take ownership of project areas while working in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience (or More ❯

the company’s data strategy and develop AI-driven features that elevate their platform. The Role You’ll lead on the full data lifecycle - from pipeline development to deploying machine learning models. Working closely with product and commercial teams, you’ll drive innovation … through LLMs and advanced analytics, while mentoring a small team and aligning data solutions with business growth. Key Responsibilities Build and optimise data pipelines and infrastructure Design and deploy ML models, including LLM-powered features Mentor junior data scientists and foster team development Align data science with product and business strategy Identify opportunities for automation and platform enhancements About You More ❯

the company’s data strategy and develop AI-driven features that elevate their platform. The Role You’ll lead on the full data lifecycle - from pipeline development to deploying machine learning models. Working closely with product and commercial teams, you’ll drive innovation … through LLMs and advanced analytics, while mentoring a small team and aligning data solutions with business growth. Key Responsibilities Build and optimise data pipelines and infrastructure Design and deploy ML models, including LLM-powered features Mentor junior data scientists and foster team development Align data science with product and business strategy Identify opportunities for automation and platform enhancements About You More ❯

venture-backed by 8VC + Mosaic, revenue-generating, and have multiple years of runway. Being part of our team means solving interesting problems at the intersection of user experience, machine learning, and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup environment. The role We are More ❯

substandard performance. Enhance system and service reporting to understand and communicate user experience with internal and external stakeholders. Keep automation at the forefront of all activities. Implement AI/ML to support service performance monitoring, reporting and root cause analysis. What It Takes : A degree in a quantitative discipline, such as Mathematics, Computer Science or equivalent. Demonstrated experience in data … analysis (2+ years). Excellent verbal and written communication skills. Experience with and understanding of: Version control - Git, GitHub Use of databases - Snowflake, postgresql or mysql Data Science techniques - Machine Learning, Artificial Intelligence, Statistical algorithms Cloud technologies - AWS or GCP What We'd Love: Experience of working across functional teams Masters or PhD in applied data science. Where More ❯

next generation of IT consulting. Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services & management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs. Job Description As a Senior Business Consultant at … our Global Digital Enablement and User Centered service Design Centre of Excellence (CoE). We take pride in our delivery, and you will be part of our delivery teams learning our successful approach and methodology. You get to work and learn from our global teams delivering similar critical services. Your personal growth is anchored in the Netcompany Academy, supplemented More ❯

technologies that enable our customers to build the future. What if I don't meet all the requirements? That's okay! We hire people who have a passion for learning and are curious. You will be supported in your career development here at AWS. You will have plenty of opportunities to build your technical, leadership, business and consulting skills. … the adoption of appropriate AWS technology. You will help shape and design solutions covering a spread of domains from migration of core enterprise applications to working with AI/ML, microservices, containers, app development, IoT to name a few. The ability to learn new technology and develop industry relevant architectures and convey business value is critical to the role. Building … our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously More ❯

biomedical data analysis. You'll be joining a small, agile team working on projects ranging from genomic data interpretation to clinical trial optimization . Key Responsibilities: Build and deploy ML models using Python , scikit-learn , and PyTorch Work with structured and unstructured biomedical datasets (e.g. genomic sequences, patient records, imaging) Collaborate with bioinformaticians and clinical researchers to translate data into … actionable insights Contribute to the development of internal tools for data preprocessing , feature engineering , and model evaluation Requirements: 3+ years of experience in data science or ML, ideally in biotech or healthcare Strong Python programming skills and experience with ML libraries Familiarity with Jupyter , Pandas , NumPy , and MLFlow Experience working with clinical or biological datasets is a big plus Comfortable … working in a fast-paced, research-driven environment Bonus Skills: Knowledge of genomics , bioinformatics , or clinical trials Experience with Docker , Kubernetes , or cloud ML pipelines (AWS/GCP) This is a high-impact role with immediate visibility across R&D and data teams. Interviews are being scheduled soon - apply now or refer someone in your network More ❯

biomedical data analysis. You’ll be joining a small, agile team working on projects ranging from genomic data interpretation to clinical trial optimization . Key Responsibilities: Build and deploy ML models using Python , scikit-learn , and PyTorch Work with structured and unstructured biomedical datasets (e.g. genomic sequences, patient records, imaging) Collaborate with bioinformaticians and clinical researchers to translate data into … actionable insights Contribute to the development of internal tools for data preprocessing , feature engineering , and model evaluation Requirements: 3+ years of experience in data science or ML, ideally in biotech or healthcare Strong Python programming skills and experience with ML libraries Familiarity with Jupyter , Pandas , NumPy , and MLFlow Experience working with clinical or biological datasets is a big plus Comfortable … working in a fast-paced, research-driven environment Bonus Skills: Knowledge of genomics , bioinformatics , or clinical trials Experience with Docker , Kubernetes , or cloud ML pipelines (AWS/GCP) This is a high-impact role with immediate visibility across R&D and data teams. Interviews are being scheduled soon – apply now or refer someone in your network More ❯

users to better understand and implement their requirements Interfacing and testing with autonomous and robotic systems in the field Collaborating with engineers with diverse skill sets, including AI/ML, networking, and robotics Driving a culture of excellence within the engineering team and the wider company You should have: A degree in Computer Science, Engineering, or a related technical/… stack Ideally, you would also have: Understanding of working on embedded/resource constrained devices Experience with Docker and Kubernetes Experience with SQL databases such as PostgreSQL Experience of machine learning applications Note: We want Arondite to bring together individuals from diverse backgrounds and perspectives. We don't expect everyone to have experience across each of these areas. More ❯

fastest growing fintech companies in the UK, and are profitable, meaning they are undergoing rapid growth. THE ROLE You will be doing the following daily: Develop credit risk predictive ML models across their credit card portfolios. Mainly working across the companies scorecards. Enhancing the existing model suite, while gaining exposure to some pricing models. Work end-to-end on model … predictive models. Previous experience in the credit/lending industry. Excellent analytical skills, with strong skills in Python, and SQL. Strong knowledge of the credit industry, including products, data, machine learning, and related regulations. Excellent written and verbal communication skill. STEM degree from a Russell group university. THE BENEFITS Up to £80,000 salary. Generous equity. Private health More ❯

developer on a project and as part of a wider BI team within the organization Willingness to adapt to change Ability to work to deadlines Enjoys technical challenges and learning new skills Willingness to take part in overnight support rota Minimum Criteria You'll need all of these. Experience of building a data warehouse using an ETL/ELT … development approach Proven experience working in a cloud environment Desirable Proven Experience of Oracle ODI/OAS Experience in AWS (in particular terraform, lambda, step functions, S3) Understanding of machine learning or data science, including python. Experience working with customer or vehicle data. Who you'll be working with This role would be to join the data portion More ❯

intelligent systems that keep Britain moving. As AI Platform Lead , you'll design and deliver the core platforms, tools, and frameworks that power our AI initiatives, ranging from traditional machine learning to generative and agentic solutions, This is your chance to be part of something new. Something exciting. Something that matters. Ready to join the AA+AI journey? This … trusted advisor, providing insights and recommendations on platform strategy and execution. Proactively identifying, managing, and communicating platform level risks and issues. Define and implement best practices for AI/ML/LLM operations. Drive automation and cost efficiency across cloud resources. Ensure platform governance, compliance, security and data privacy. Lead Platform Proofs of Concept (PoCs) and evaluate emerging technologies. Champion … home insurance Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more Company funded life assurance Diverse learning and development opportunities to support you to progress in your career Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family Plus More ❯

the following skills: Strong proficiency with customer data platforms (e.g., Segment, Treasure Data, Tealium, Salesforce CDP, Adobe Experience Platform). Certification in CDP technologies or related tools. Knowledge of machine learning and predictive modelling. Appreciation of marketing automation platforms (e.g., HubSpot, Marketo). Advanced understanding of matrixed organisations and comfortable in managing cross functional teams Strong understanding of … and partners to enable delivery of the outstanding services we are known for. Please note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. Accenture is … their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces. Join Accenture to work at the heart of change. Visit More ❯

and static code analysis (e.g. SonarQube) to ensure quality It would be great if you also had experience with: Machine learning frameworks (e.g. TensorFlow, AWS/Azure ML) Cloud deployment and management (AWS, Azure) Containerisation (Docker, Kubernetes) Databases (relational, document, or graph) Configuration and deployment tools (Ansible) The package: £55,000 - £64,000 base Company bonus Pension scheme More ❯

us to create language models uniquely suited to capital markets while advancing the state-of-the-art. We are a venture backed company founded by professionals with experience spanning machine learning, trading, and quantitative research. The Role We're looking for a data-savvy software engineer who thrives on solving new and unexpected challenges - building bespoke software, APIs … Understands that solving problems means working across the stack from API development to frontend UIs and infrastructure-as-code Have built real-world systems that expose or depend on ML models, including deployment or inference tooling (e.g. model serving, feature stores) Think in terms of use cases and outcomes, not just infrastructure and moving data Strong software engineering fundamentals, with More ❯

most challenging and pressing engineering problems for our clients. Our engineering teams build scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Internal Audit Engineering is a part of Core Engineering Team in Goldman Sachs. In Internal Audit, we ensure … We're looking for detail-oriented team players who have an interest in financial markets and effectively meet the demands of our challenging mandate that requires a passion for learning as well as deep understanding and experience across a wide array of technical competencies. Strong communication skills are key, we expect you to constructively volunteer reasoned views and opinions More ❯

Product Owner - Insurance/Reinsurance/Financial Services/Fintech (AI/ML/NLP)| Hybrid - Bristol (2-3 Days Onsite) Salary: £50,000 - £65,000 + Benefits Are you an experienced Product Owner who thrives on driving innovation in complex, data-rich environments? Want to work at the cutting edge of insurance technology with a team shaping the future … a Product Owner: At least 5 years of experience as a Product Owner or similar, ideally within the insurance or fintech sector. You must have good knowledge in AI, Machine Learning or NLP Background in computer science, data science, economics, or a related field would be preferred. Strong problem-solving, conceptual thinking, and analytical skills. Solid understanding of More ❯