976 to 1,000 of 4,309 Machine Learning Jobs in the UK

Proven experience managing product roadmaps, working with cross-functional teams, and overseeing the entire product lifecycle. Strong understanding of data technologies such as cloud platforms, data processing frameworks, and machine learning tools. Experience working within agile methodologies and managing stakeholder expectations effectively in dynamic environments. Familiarity with data-driven product development and delivering measurable business value through data … to define and execute a product vision and roadmap that aligns with business goals. Knowledge of data technologies, including cloud platforms (AWS, Azure, Google Cloud), data processing frameworks, and machine learning tools. Proficient in understanding technical constraints and collaborating with data science and engineering teams to meet product requirements. Experience working with agile frameworks, managing product delivery in More ❯

Proven experience managing product roadmaps, working with cross-functional teams, and overseeing the entire product lifecycle. Strong understanding of data technologies such as cloud platforms, data processing frameworks, and machine learning tools. Experience working within agile methodologies and managing stakeholder expectations effectively in dynamic environments. Familiarity with data-driven product development and delivering measurable business value through data … to define and execute a product vision and roadmap that aligns with business goals. Knowledge of data technologies, including cloud platforms (AWS, Azure, Google Cloud), data processing frameworks, and machine learning tools. Proficient in understanding technical constraints and collaborating with data science and engineering teams to meet product requirements. Experience working with agile frameworks, managing product delivery in More ❯

defining the shopping experience across multiple category needs for Amazon's emerging markets. We are a large product organization solving key customer problems through Customer Insights, Tech development, and Machine Learning capabilities. We work backwards from emerging customer needs and build solutions to scale these globally. We build adaptive experiences that adapt to the customer, category, and country … shopping experience across key country and category needs for Amazon's emerging markets. We are a large product organization solving key customer problems through Customer Insights, Tech development, and Machine Learning capabilities. We work backwards from emerging customer needs and build solutions to scale these globally. More ❯

used to help solve their unique challenges, and will action this appropriately. . This will involve working with varied data sources, and designing and implementing various data science and machine learning techniques and algorithms, both on-premises and on the cloud, depending on the client's environment. You'll communicate your findings and insight to the client, getting … with various forms of data (e.g. structured, unstructured; text, time-series and image) and appropriately modelling these Experience with various statistical-based techniques to uncover data insight Experience developing machine learning algorithms Excellent communication and requirements gathering skills Eligibility for SC Clearance Benefits Salary up to £75,000 depending on experience Discretionary bonus 5% pension Training budget allowance More ❯

to deliver seamless computer vision solutions. Monitor deployed models by analysing performance metrics, troubleshooting issues, and implementing updates to maintain optimal results. Stay up to date with the latest machine learning and computer vision advancements, applying new techniques to strengthen solutions and drive innovation. Main Skills/Requirements: Master’s degree in Computer Science, Data Science, or a … related field — or equivalent practical experience, with a strong focus on machine learning Over 5 years of experience deploying computer vision models in production environments Advanced proficiency in Python programming Hands-on experience with cloud platforms such as AWS or GCP, and familiarity with deployment tools like Docker and Kubernetes Solid understanding of computer vision techniques, including image More ❯

institutions, governments, and corporations. With significant investment in technology and innovation, the organization offers a platform for engineers to work on everything from enterprise platforms to emerging tech like machine learning, cybersecurity, and cloud development. We foster a technology culture that values diversity, encourages professional growth, and supports long-term career development. With access to global resources and … institutions, governments, and corporations. With significant investment in technology and innovation, the organization offers a platform for engineers to work on everything from enterprise platforms to emerging tech like machine learning, cybersecurity, and cloud development. We foster a technology culture that values diversity, encourages professional growth, and supports long-term career development. With access to global resources and More ❯

institutions, governments, and corporations. With significant investment in technology and innovation, the organization offers a platform for engineers to work on everything from enterprise platforms to emerging tech like machine learning, cybersecurity, and cloud development. We foster a technology culture that values diversity, encourages professional growth, and supports long-term career development. With access to global resources and … institutions, governments, and corporations. With significant investment in technology and innovation, the organization offers a platform for engineers to work on everything from enterprise platforms to emerging tech like machine learning, cybersecurity, and cloud development. We foster a technology culture that values diversity, encourages professional growth, and supports long-term career development. With access to global resources and More ❯

institutions, governments, and corporations. With significant investment in technology and innovation, the organization offers a platform for engineers to work on everything from enterprise platforms to emerging tech like machine learning, cybersecurity, and cloud development. We foster a technology culture that values diversity, encourages professional growth, and supports long-term career development. With access to global resources and … institutions, governments, and corporations. With significant investment in technology and innovation, the organization offers a platform for engineers to work on everything from enterprise platforms to emerging tech like machine learning, cybersecurity, and cloud development. We foster a technology culture that values diversity, encourages professional growth, and supports long-term career development. With access to global resources and More ❯

and analytics Collect, clean and analyse clinical and performance data from gait lab assessments and prosthetic/orthotic devices as part of product trials and internal research studies. Using machine learning tools and statistical techniques to provide novel solutions to problems. Providing expertise in the creation of algorithms and machine learning models to support clinician use … and leisure activities Health cash plan Cycle to work scheme. Opportunity to be part of an award-winning organisation with a culture that centres around our core values; courage, learning, integrity, collaboration, and innovation What are we looking for? Key skills BSc in Data Science/Biostatistics/Biomedical Engineering/Biomechanics Proven experience working with structured and unstructured More ❯

institutions, governments, and corporations. With significant investment in technology and innovation, the organization offers a platform for engineers to work on everything from enterprise platforms to emerging tech like machine learning, cybersecurity, and cloud development. We foster a technology culture that values diversity, encourages professional growth, and supports long-term career development. With access to global resources and … institutions, governments, and corporations. With significant investment in technology and innovation, the organization offers a platform for engineers to work on everything from enterprise platforms to emerging tech like machine learning, cybersecurity, and cloud development. We foster a technology culture that values diversity, encourages professional growth, and supports long-term career development. With access to global resources and More ❯

data solution including understanding complex business challenges, designing scientific solutions, working large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights Work collaboratively with data scientists, data engineers and other technical people including pricing teams in order to help support maturation … in both independently and in small teams as required by the task. Familiarity with version control and other IT delivery tools is required Understanding/identifying opportunity to apply machine learning knowledge to solve business problems Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights … clients to engage, develop and harness the skills they need to achieve and grow the workforce they want. Our culture: At Peregrine we embrace fresh ideas, and we love learning fast. Our solutions are trusted and established, so we have the confidence of knowing we have a solid foundation. We rely on openness and honesty, and were always ready More ❯

our new Superpower as one of only 4 strategic priorities for the Group. Our growing team is modernising our data infrastructure to a cutting-edge cloud platform and enabling machine learning and GenAI. Join us at an exciting time and be part of a team that is driving meaningful change for our customers, colleagues, and shareholders. This is … of the data products you create. You'll work closely with analytics and BI teams to deliver insights-ready solutions and contribute to our growing data maturity by supporting machine learning initiatives that unlock predictive insights and drive meaningful outcomes. What will I be doing? Design, build, and maintain automated data pipelines using Python and SQL across platforms … resolve incidents, and contribute to robust governance through documentation, testing, and continuous improvement. Engage with stakeholders to refine requirements, align data solutions with business priorities, and foster a collaborative, learning-focused culture. What do I need? Proficient in Python for data engineering workflows and advanced SQL for complex data manipulation. Hands-on experience with Airflow, Databricks, and Google BigQuery More ❯

motivated Graduate AI Specialist from a top Russell Group university to join our dynamic team. This role is ideal for a candidate with a strong academic background in AI, machine learning, or data science, combined with a keen understanding of real-world business applications. You will play a crucial role in leveraging AI-driven insights to enhance decision … making. Work closely with cross-functional teams to identify opportunities where AI can add value. Analyse complex datasets to extract insights and drive strategic recommendations. Support the deployment of machine learning models, ensuring they align with business objectives. Research and experiment with emerging AI technologies to enhance company capabilities. Communicate technical concepts effectively to both technical and non … Ensure ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. More ❯

Learning Engineer to support the development of a greenfield compliance platform focused on anti-money laundering (AML) and counter-terrorist financing (CTF). You’ll help design scalable ML infrastructure, build real-time monitoring systems, and explore the latest advancements in AI. Your Responsibilities: Contribute to a New ML-Driven Platform : Build advanced AML/CTF transaction monitoring modules … using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. Drive Deployment and ML Operations: Collaborate with DevOps to containerise and deploy monitors with automated … testing and evaluation tools. Support ML Ops development to track model health, detect drift/skew, and ensure model reliability in production. Focus on Scalability and Clean Code: Write clear, well-documented, and reusable code in line with engineering best practices. Help architect a scalable and resilient cloud-native platform (Azure) Maintain and improve data pipelines, ensuring data quality and More ❯

Learning Engineer to support the development of a greenfield compliance platform focused on anti-money laundering (AML) and counter-terrorist financing (CTF). You’ll help design scalable ML infrastructure, build real-time monitoring systems, and explore the latest advancements in AI. Your Responsibilities: Contribute to a New ML-Driven Platform : Build advanced AML/CTF transaction monitoring modules … using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. Drive Deployment and ML Operations: Collaborate with DevOps to containerise and deploy monitors with automated … testing and evaluation tools. Support ML Ops development to track model health, detect drift/skew, and ensure model reliability in production. Focus on Scalability and Clean Code: Write clear, well-documented, and reusable code in line with engineering best practices. Help architect a scalable and resilient cloud-native platform (Azure) Maintain and improve data pipelines, ensuring data quality and More ❯

pressing engineering problems for our clients. Join our engineering teams that build massively 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. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The … challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and data science skills, and applications in finance. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. Interpersonal Communication … candidate in a quantitative field such as mathematics, physics, statistics or engineering 2-4 years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus. Strong programming skills and experience with an object oriented programming language (such as C++, Python, or More ❯

pressing engineering problems for our clients. Join our engineering teams that build massively 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. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The … challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and data science skills, and applications in finance. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. Interpersonal Communication … s candidate in a quantitative field such as mathematics, physics, statistics or engineering 4+ years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus. Strong programming skills and experience with an object oriented programming language (such as C++, Python, or More ❯

to drive cutting-edge innovation and open the world to everyone. Within our Commercial and Support teams , you'll find a place to accelerate your growth by actively seeking learning opportunities and carving your own path. You'll create impact for our future by owning projects and shaping the business strategy to reach shared goals, all within our enhanced … analyse large and complex payment data sets from diverse sources Identify trends, patterns, and anomalies within the data to uncover insights. Utilise advanced data analysis techniques (e.g., statistical modelling, machine learning) to extract meaningful information. Insight Generation: Develop comprehensive reports, dashboards and visualisations to communicate findings to stakeholders. Provide detailed analysis including creation of financial models to support … Not necessary but would be desirable to have: Master's degree in Data Science, Statistics, or a related field. Experience in Virtual card payments and rebate structures. Knowledge of machine learning and statistical modelling techniques. Experience with data visualisation tools (e.g., Looker, Power BI, Google Suite). Perks of joining us: Other than an amazing environment for you More ❯

connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer … to effectivelycommunicate complex technical and statistical ideas to non-specialists. Preferred Qualifications Experience biostatistics and clinical programming. Working with Cloud (e.g. Azure) infrastructure and services. Data science background including machine learning, and Shiny app development. Working at Ascent At Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well … being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of More ❯

Allianz Insurance offers a generous study package to enable the actuarial qualification to be obtained through the Institute and Faculty of Actuaries in the UK. Our team values continuous learning, you can enjoy free access to top training platforms like DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by … its source right through to modelling and then implementation in rating Analysing data, interpret output and communicate results to a non-technical audience Building and testing Statistical models and machine learning algorithms Working with Data Enrichment team to obtain and use third-party and internally-generated data sources to enhance model. Essential Skills We don't expect you … know everything from day one, but the following will enable you to hit the ground running: Solid knowledge of relevant statistical modelling methods - in particular GLMs Knowledge of relevant machine learning techniques - in particular GBMs Proven experience in working with large data sources Good command of Python, SQL, SAS or similar coding languages Experience of Willis Towers Watson More ❯

Allianz Insurance offers a generous study package to enable the actuarial qualification to be obtained through the Institute and Faculty of Actuaries in the UK. Our team values continuous learning, you can enjoy free access to top training platforms like DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by … its source right through to modelling and then implementation in rating. Analysing data, interpreting output and communicating results to a non-technical audience. Building and testing Statistical models and machine learning algorithms. Assisting in coaching and developing other colleagues within the team to ensure constant up-skilling. Essential Skills We don't expect you to know everything from … day one, but the following will enable you to hit the ground running: Solid knowledge of relevant statistical modelling methods - in particular GLMs. Knowledge of relevant machine learning techniques - in particular GBMs. Proven experience in working with large data sources. Good command of Advanced Excel, Python, SQL, SAS, Databricks or similar coding languages. Experience of Willis Towers Watson More ❯

commercial acumen, and leadership excellence to scale solutions across Europe. Key Responsibilities: 1. Vision & Strategy - Define and evangelise the product vision for Data Solutions, including: - Decision Engine: AI/ML-driven automation for pricing, stock, and channel optimisation. - Salesforce Ecosystem: Unified CRM, billing, and compliance workflows. - Data Products: Monetisable APIs, analytics suites, and third-party data partnerships. - Align roadmaps with … lakehouse (Snowflake, Databricks) and real-time pipelines (Kafka, AWS Kinesis). - Salesforce Integrations: Ensure seamless workflows across Financial Services Cloud, Marketing Cloud, and CPQ. - Decision Engine: Prioritise AI/ML use cases (e.g., dynamic pricing, desirability scoring) and ensure ethical, bias-free automation. 3. Cross-Functional Leadership - Lead a team of Product Managers (Data, Salesforce, Decision Engine) and collaborate with … as a thought leader in data innovation. Skills, Knowledge, and Experience: Essential - 10+ years in Product Leadership, with 5+ years focused on data products, Salesforce ecosystems, or AI/ML platforms (B2B, fintech, or marketplaces). - Proven track record scaling data solutions from MVP to enterprise-grade adoption. - Deep technical expertise: - Data Platforms: Cloud-native architectures (AWS/Asure), data More ❯

commercial acumen, and leadership excellence to scale solutions across Europe. Key Responsibilities: 1. Vision & Strategy - Define and evangelise the product vision for Data Solutions, including: - Decision Engine: AI/ML-driven automation for pricing, stock, and channel optimisation. - Salesforce Ecosystem: Unified CRM, billing, and compliance workflows. - Data Products: Monetisable APIs, analytics suites, and third-party data partnerships. - Align roadmaps with … lakehouse (Snowflake, Databricks) and real-time pipelines (Kafka, AWS Kinesis). - Salesforce Integrations: Ensure seamless workflows across Financial Services Cloud, Marketing Cloud, and CPQ. - Decision Engine: Prioritise AI/ML use cases (e.g., dynamic pricing, desirability scoring) and ensure ethical, bias-free automation. 3. Cross-Functional Leadership - Lead a team of Product Managers (Data, Salesforce, Decision Engine) and collaborate with … as a thought leader in data innovation. Skills, Knowledge, and Experience: Essential - 10+ years in Product Leadership, with 5+ years focused on data products, Salesforce ecosystems, or AI/ML platforms (B2B, fintech, or marketplaces). - Proven track record scaling data solutions from MVP to enterprise-grade adoption. - Deep technical expertise: - Data Platforms: Cloud-native architectures (AWS/Asure), data More ❯

commercial acumen, and leadership excellence to scale solutions across Europe. Key Responsibilities: 1. Vision & Strategy - Define and evangelise the product vision for Data Solutions, including: - Decision Engine: AI/ML-driven automation for pricing, stock, and channel optimisation. - Salesforce Ecosystem: Unified CRM, billing, and compliance workflows. - Data Products: Monetisable APIs, analytics suites, and third-party data partnerships. - Align roadmaps with … lakehouse (Snowflake, Databricks) and real-time pipelines (Kafka, AWS Kinesis). - Salesforce Integrations: Ensure seamless workflows across Financial Services Cloud, Marketing Cloud, and CPQ. - Decision Engine: Prioritise AI/ML use cases (e.g., dynamic pricing, desirability scoring) and ensure ethical, bias-free automation. 3. Cross-Functional Leadership - Lead a team of Product Managers (Data, Salesforce, Decision Engine) and collaborate with … as a thought leader in data innovation. Skills, Knowledge, and Experience: Essential - 10+ years in Product Leadership, with 5+ years focused on data products, Salesforce ecosystems, or AI/ML platforms (B2B, fintech, or marketplaces). - Proven track record scaling data solutions from MVP to enterprise-grade adoption. - Deep technical expertise: - Data Platforms: Cloud-native architectures (AWS/Asure), data More ❯

Q&A system, manage our multi-technology stack spanning Laravel backend, Nuxt frontend, and Python AI services, while driving the scalability of our cloud-native infrastructure. Key Responsibilities: AI & ML Leadership: Lead development of our Python-based AI orchestration application deployed via containerised services with python engineers and your seld Manage our multi-modal LLM strategy including Amazon Bedrock integration … and lead a team across full-stack development and AI engineering Establish best practices for cloud-native, multi-technology development environments Drive architectural decisions spanning web technologies, AI/ML systems, and cloud services Implement robust testing, deployment, and monitoring practices across distributed systems Evaluate emerging technologies and cloud services for platform enhancement Required Experience & Skills: Computer Science degree or … equivalent experience 7+ years engineering experience with 3+ years in leadership roles Strong background in both traditional web development and AI/ML systems Experience with our core technologies: Laravel/PHP, Vue.js/Nuxt, Python Proven track record with cloud platforms (AWS preferred, but multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and More ❯