2,601 to 2,625 of 3,869 Machine Learning Jobs in the UK

and analytical skills. Previous experience in a research or structuring department of an investment bank or relevant buy-side experience. Excellent coding skills in Python. In-depth knowledge of machine learning and big data. Strong communication, presentation, and writing skills. Team-player attitude. Preferred Qualifications, Capabilities, and Skills: Previous experience in quant equity and/or fixed income More ❯

data and audiovisual services for bookmakers. Over the course of the last years Sportradar significantly expanded its range of products & services by acquiring Vaix.ai , the industry leader for Deep Learning AI for Personalization and CRM, first to market bringing Netflix and Spotify to Sports and iGaming. Receiving and training on hundreds of Gigabytes/tens of millions rows of … data per day, Vaix is building a wide range of Machine Learning solutions, from Recommendation engines, human behavior predictive models, to Natural Language Processing. We process hundreds of API requests per second from operators and respond back with latency in milliseconds. Vaix is seeking an experienced and passionate Business Development AI with deep gaming industry expertise to join More ❯

deliver key public services. Due to the R&D driven culture within this team this Java Developer will be given opportunities to learn and work with the latest AI & machine learning technologies developing applications using a modern microservices, automated architecture. With a real commitment to employee wellbeing and personal development this Java Developer can expect long term commitment More ❯

through rigorous, scalable experimentation. You'll be instrumental (alongside an Experimentation Analyst) in developing the technological foundation (the platform) and the organisational capability (the culture and process) to accelerate learning, de-risk product development, and drive significant business impact and user experience improvements. Your Experience Must have: 5+ years of Product Management experience, with demonstrable success managing technical products … causal inference). Experience specifically building or managing platforms for internal developers/users. Proven track record of successfully scaling experimentation programs and culture within an organisation. Familiarity with machine learning concepts and their application in experimentation or personalisation. What you'll be doing You'll be responsible for: Platform Product Leadership: Define and champion the long-term … Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support Flexible office + home working, up to 2 months a year working abroad 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus More ❯

First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution, The role operates globally in collaboration with teams engineering teams across growth products. Technical Leadership - Provide strong technical leadership … utilization. Knowled g e/Experience Data Engineering Leadership: Ability to lead global technical teams in building scalable data platforms, data pipelines, and infrastructure that supports advanced analytics and machine learning. DataOps & DevOps Enablement: Skilled in implementing CI/CD pipelines, observability standards, and modern engineering workflows to enhance pipeline reliability, agility, and operational efficiency. Technical Standards & Frameworks: Experience More ❯

SaaS platforms and prepare your team for these changes. Team Development and Talent Management Lead the design and scaling of a modern engineering organization, cultivating a culture of craftsmanship, learning, and shared ownership. Develop and implement staffing plans to build and maintain a high-calibre engineering team. Carry out all elements of employee supervision, such as performance management, development … coaching, learning plan oversight, task assignment and succession management. Recruit, mentor, coach, and develop engineering leaders and individual contributors, fostering growth and career development. Establish and promote consistent technical practices across teams to ensure high performance and productivity. Champion diversity of thought, psychological safety, and servant leadership. Serve as a cultural stabilizer and change agent, helping teams navigate transformation … ability to influence across cross-functional teams. A deep commitment to technical excellence and an ability to empower teams through continuous learning and improvement. Familiarity with AI/ML platform integration and intelligent automation is highly preferred. Experience embedding and scaling the product-first principles as defined by the Product Operating Model would be highly advantageous. Additional Information: Occasional More ❯

frequency trading experience preferred, g. in market making, proprietary, or possibly agency space; Excellent Masters degree or PhD in statistical or related discipline or computing g. statistics, stochastic modelling, machine learning or computer science. Why Join: Hybrid flexibility with a dynamic team culture Strong team mentorship and development Work directly with existing clients in an Execution Consulting capacity More ❯

Microsoft Dynamics 365 applications using Forms, Native and Custom Entities, Plugins (C#), javascript, PowerAutomate, PowerBI, PowerApps, Azure functions, Azure Service bus, Azure Logic apps and third-party applications, Azure Machine Learning, and SSRS Reports. Develop solutions and utilise test-driven development to build features for those solutions (Jasmine, Mock, N-Unit). Ensure that all solutions are lightweight … to yourself or your community Cycle-to-work Scheme Future Planning Pension scheme with employer contributions Life Assurance - 3X base salary Rewards Program - access to discounts and cashback LinkedIn Learning License for upskilling & development Interested but don't feel you meet all the requirements? Our recruitment team assesses and reviews all applications against the role and business needs. We More ❯

public holidays), with buy/sell options. Flexible Benefits: Life assurance, gym memberships, health plans. Work-Life Balance: 37.5-hour week + up to 2 TOIL days per month. Learning & Development: TechX Academy, unlimited e-learning, career mobility. If you want to work on real-world systems, close to the mission, and in a role where your code … transportation. What Makes Us Different: Purpose:you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration:having flexibility to More ❯

to make informed product decisions. Clear, collaborative communicator with strong stakeholder management skills. Passionate about creating simple, engaging, and personalised experiences that put the customer first. Desirable: Knowledge of machine learning, product recommendation engines, or omnichannel personalisation. Experience with composable commerce platforms and embedding personalised journeys into them. Ready to shape the future of personalised wellness at Holland … that's redefining what it means to live well, every day. Benefits Technology Incentive Scheme - we offer different bonus schemes for all grades in Technology, starting at 10%. Learning and Development opportunity with Holland & Barrett is a great base for career development long term. Career progression Company pension contribution Your wellbeing is paramount so you can get away More ❯

Founding Machine Learning Engineer We’re hiring a Founding Machine Learning Engineer for a well-funded, early-stage start-up, built by a founding team with experience at some of the world’s leading companies in their field - and already onboarding real clients at pace. This is a mission-critical hire at one of the most … stages in a company’s journey. About You: 4+ years of high-quality software engineering experience Full stack skills, ideally back-end focused (Python) with front-end in React Machine Learning/AI engineering experience in a product-led or tech-driven company Experience with LLMs and RAG systems You're excited to work in-person by default … built systems from scratch, and taken ownership of models all the way through to production. Bonus points if you’ve done this at reputable companies. You’ll own everything ML: from shaping the product and stack to driving the roadmap and building the foundation for scale. This is a rare opportunity to step in early, take real responsibility, and help More ❯

footballers' legs. Ki's mission is simple: digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning, and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

footballers' legs. Ki's mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest … audits and certifications. - Reporting & Documentation: Prepare technology risk reports, maintain governance documentation, and develop visualisations to enhance communication. - Management & Development: Promote awareness campaigns, research resilience strategies, and support team learning and development. Required skills & experience: - Experience in technology operations, ITSM including Service Asset and Configuration Management - Created incident response playbooks - Developed and tested recovery plans, identified and resolved gaps More ❯

within the financial services sector. Skills Strong SQL skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization and BI tools (e.g. More ❯

Graduate Technical Recruiter - Trading Technology & Machine Learning About Algo Capital: Algo Capital is a leading global algorithmic talent firm specializing in Quantitative Trading and Trading Technology recruitment across the US, EMEA, and APAC. We partner with the most exclusive clients in the trading industry, who are pushing the boundaries of AI, machine learning, and low-latency … of the art solutions and platforms. We're seeking a driven Graduate Technical Recruiter to join our team, focusing on C++, Python, Low Latency systems, and advanced AI/ML roles. Who You Are: Recent STEM or related field graduate with a strong interest in technical recruitment for Finance, Trading Technology, or FinTech Entrepreneurial mindset Eager to learn about recruiting … Comprehensive training (1:1 mentorship) in Trading Technology and AI recruitment Collaborative, high performing team culture Networking with top-tier professionals and technologists in Trading Technology and AI/ML Clear structured career progression path in Quantitative technical recruitment This is an excellent opportunity to build a lasting career in quantitative technology, if you would like further information please apply More ❯

Graduate Technical Recruiter - Trading Technology & Machine Learning About Algo Capital: Algo Capital is a leading global algorithmic talent firm specializing in Quantitative Trading and Trading Technology recruitment across the US, EMEA, and APAC. We partner with the most exclusive clients in the trading industry, who are pushing the boundaries of AI, machine learning, and low-latency … of the art solutions and platforms. We're seeking a driven Graduate Technical Recruiter to join our team, focusing on C++, Python, Low Latency systems, and advanced AI/ML roles. Who You Are: Recent STEM or related field graduate with a strong interest in technical recruitment for Finance, Trading Technology, or FinTech Entrepreneurial mindset Eager to learn about recruiting … Comprehensive training (1:1 mentorship) in Trading Technology and AI recruitment Collaborative, high performing team culture Networking with top-tier professionals and technologists in Trading Technology and AI/ML Clear structured career progression path in Quantitative technical recruitment This is an excellent opportunity to build a lasting career in quantitative technology, if you would like further information please apply More ❯

legal, regulatory, and ethical implications of AI and advanced technologies, helping them navigate a rapidly evolving legal landscape. Key Responsibilities: Advise on legal and regulatory issues related to AI, machine learning, data protection, and algorithmic decision-making Draft and negotiate technology contracts, including SaaS agreements, licensing, and data-sharing arrangements Provide strategic guidance on AI governance, compliance, and More ❯

cloud. AWS has been continually expanding its services to support virtually any workload, and it now has more than 240 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, media, and application development, deployment, and management from 105 Availability Zones within 33 geographic regions, with … 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 ❯

DevOps practices. Deliver client workshops and facilitate technology adoption. Integrate AI with complementary systems and solutions. What tech skills? Well versed in Microsoft Azure AI tools, including Cognitive Services, Machine Learning, Bot Services, OpenAI Service, Co-Pilot AI, and data platforms like Synapse and Databricks, with experience in CI/CD pipelines using Azure DevOps and secure architectures More ❯

monitoring and investigation of suspicious activities. Develop and implement fraud risk management strategies and policies aligned with regulatory requirements and industry best practices. Utilize data analytics, rules engines, and machine learning models to detect unusual patterns and prevent fraudulent transactions. Collaborate with Product, Engineering, Customer Service, Compliance, and Legal teams to enhance fraud controls across customer journeys. Manage More ❯

Founding Machine Learning Engineer We’re hiring a Founding Machine Learning Engineer for a well-funded, early-stage start-up, built by a founding team with experience at some of the world’s leading companies in their field - and already onboarding real clients at pace. This is a mission-critical hire at one of the most … stages in a company’s journey. About You: 4+ years of high-quality software engineering experience Full stack skills, ideally back-end focused (Python) with front-end in React Machine Learning/AI engineering experience in a product-led or tech-driven company Experience with LLMs and RAG systems You're excited to work in-person by default … built systems from scratch, and taken ownership of models all the way through to production. Bonus points if you’ve done this at reputable companies. You’ll own everything ML: from shaping the product and stack to driving the roadmap and building the foundation for scale. This is a rare opportunity to step in early, take real responsibility, and help More ❯

Cycle. Advanced understanding of agile methodologies such as CI/CD, application resiliency, and security. Proven proficiency in software applications and technical processes within disciplines like cloud, artificial intelligence, machine learning, mobile, etc. In-depth industry knowledge of the financial services sector and IT systems. Practical experience with cloud-native technologies. Preferred qualifications, capabilities, and skills Knowledge of More ❯

StackAdapt is the performing programmatic advertising platform helping brands accelerate customer engagement and acquisition. This state-of-the-art platform is where some of the most progressive work in machine learning meets cutting-edge user experience. Ranking the highest in performance by G2 Crowd for the fourth time, we're one of the fastest growing companies in Canada … from their home office Robust training and onboarding program Coverage and support of personal development initiatives (conferences, courses, etc) Access to StackAdapt programmatic courses and certifications to support continuous learning Mentorship opportunities with industry leaders An awesome parental leave policy A friendly, welcoming, and supportive culture Our social and team events! StackAdapt is a diverse and inclusive team of More ❯

GPUs. Profiling and debugging system performance using tools like NVIDIA Nsight, Intel VTune, and vendor-specific profilers, identifying bottlenecks and implementing effective solutions. Collaborating closely with software, hardware, and machine learning teams to ensure that data is managed, preprocessed, and made available to the GPU as quickly and efficiently as possible. Staying current with advances in GPU hardware More ❯

GPUs. Profiling and debugging system performance using tools like NVIDIA Nsight, Intel VTune, and vendor-specific profilers, identifying bottlenecks and implementing effective solutions. Collaborating closely with software, hardware, and machine learning teams to ensure that data is managed, preprocessed, and made available to the GPU as quickly and efficiently as possible. Staying current with advances in GPU hardware More ❯