1,851 to 1,875 of 10,113 Machine Learning Jobs in the UK

insurance with world-class data analytics and risk assessment solutions. As a global tech leader, we empower insurers to make faster, smarter decisions through the power of advanced AI, machine learning, and cutting-edge cloud technologies. Our platforms support everything from catastrophe modeling and underwriting to fraud detection and claims optimization—helping insurers manage complexity, reduce risk, and 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 core products. Technical Leadership - Provide strong technical leadership More ❯

apply your expertise in many ways. Here are some examples to give you a flavour of what you will do: Identify and define technical tasks from project requirements Implement machine learning models, data pipelines, and integrations with Storm's product suite Investigate new AI approaches, frameworks, and best practices for application in public sector contexts Work closely with More ❯

quantitative research firm that continues to push the boundaries of advanced modelling — from algorithmic trading to factor modelling and other cutting-edge applications. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive, integrated approach. At AGITProp, we harness the latest insights from foundation and large language models … our platform. Code Quality: Champion code quality best practices, including thorough testing, code reviews, and adherence to coding standards. Mentorship: Mentor and guide junior engineers, fostering a culture of learning and growth within the team. Collaboration: Collaborate effectively with researchers, quantitative analysts, and other engineers to deliver innovative solutions. Technical Leadership: Contribute to the technical vision and strategy of 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 core products. Technical Leadership - Provide strong technical leadership More ❯

practical experience delivering system design, application development, testing, and operational stability, particularly in cloud environments. Advanced proficiency in Python programming. Advanced knowledge of cloud-based systems, artificial intelligence, and machine learning, with considerable in-depth knowledge in implementing solutions using AWS. Ability to tackle design and functionality problems independently with little to no oversight, demonstrating self-starter capabilities. More ❯

ll be solving Nice to haves Experience working on routing, scheduling, or network optimisation problems Experience developing your own algorithms or heuristics Experience working with Geospatial data Experience with Machine learning or other modelling techniques Experience in fast-scaling startups or operational teams Experience in logistics, mobility, marketplaces, or other operationally complex businesses What we offer Generous equity More ❯

understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (., cloud, artificial intelligence, machine learning, mobile, Interest in developing industry trends, especially around data management platforms Previous experience supporting at least one Capital Markets Line of Business BS/BA degree or More ❯

competitive edge. The Senior Data Engineer will be required to build relationships and collaborate with key stakeholders, responsibilities include: Architect and implement efficient data pipelines that enable our Quants, ML, Analytics and Operation teams to quickly build solutions without having to spend considerable time wrangling with data. Drive technical decisions, evaluate new technologies and tools, and contribute to the continuous … party data providers and ingesting real-time trading data feeds. Vitality health insurance and dental cover 38 days of holiday (including bank holidays) Annual Bluecrest health checks A personal learning & development budget of £5000 Free gym membership Enhanced family leave Cycle to Work scheme Office massage therapy Freshly served office breakfast twice a week Fully stocked fridge and pantry More ❯

agile methodologies such as continuous integration and delivery, application resiliency, and security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., public cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Deep knowledge of one or more software and applications More ❯

problems in defence, healthcare, government, safety, security, and transportation. What Makes Us Different: Purpose: Use your passion and skills at Leidos to keep people safe. We are leaders in machine learning, AI, cybersecurity, and solutions, helping to build a safer world and inspiring change. Collaboration: Enjoy flexible working options to be part of our team. We support working More ❯

Data Science, Mathematics or related field - Experience with at least one statistical programming language such as Python working with test/control methodology, time-series forecast, and/or machine learning techniques. - Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability) - Experience using very large datasets - Strong Analytical skills - has ability to More ❯

Experience in the management of complex automation projects dealing with different teams and stakeholders Master's degree in Automation Engineering, Mechatronics Engineering, Electrical Engineering, or equivalent, Experience building with Machine learning, IoT, AI platforms Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based More ❯

is made up of four distinct sub-tribes, each delivering insights across different areas of the business through a variety of data products: Motor Pricing - Focuses on developing timely machine learning models for Pricing and Claims, enhancing Admiral's market-leading pricing structure through internal and external data integrations, and providing visualisation and reporting tools to support pricing 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 . Goldman More ❯

is made up of four distinct sub-tribes, each delivering insights across different areas of the business through a variety of data products: Motor Pricing – Focuses on developing timely machine learning models for Pricing and Claims, enhancing Admiral’s market-leading pricing structure through internal and external data integrations, and providing visualisation and reporting tools to support pricing More ❯

an environment that will present you with exciting challenges - be it through the support and further development of existing systems or the introduction of modern technologies such as AI, machine learning and highly automated trading applications. Our Technology department of around 300 employees works in an agile way and covers areas such as Cloud Computing, Cybersecurity, Operations, Process More ❯

of scale up stage software engineering. You have experience of optimising solution performance with a constrained set of technologies. You have experience or are keen to engage with productionising machine learning technologies. Experience of test automation experience using latest technology in early software development life cycle. Understand best practices on BDD scripts on both backend and frontend applications. 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 . Goldman More ❯

must have an expected graduation of summer 2025). Understanding of software development principles and design patterns e.g., Object Oriented Programming. Proficiency in Python and experience with AI/Machine Learning libraries e.g., NLP, Computer Vision. Knowledge of additional programming languages (e.g., Java, C++, JavaScript, Ruby, PHP) and ability to write clean code. Experience with version control systems More ❯

solutions to respond to these needs—fast. That’s where you come in. We’re looking for a passionate Data Engineer to design a big data infrastructure for our machine learning projects, a set of APIs to ingest/expose data, and a coordination framework for the whole thing. All this to drive Typeform to the gold standard More ❯

to enable seamless data exchange between NHS and internal systems. Work on SaaS development projects to customise and optimise internal, external & third-party cloud-based services. Integrate AI and machine learning solutions to support clinical and operational decision making. Collaborate with Data Engineers and Analysts to create tools that support data processing and analytics workflows. DevOps and Cloud More ❯

Vite and modern component libraries (TailwindCSS, ShadcnUI). Solid SQL/no-SQL design and performance tuning skills (PostgreSQL, DynamoDB, ElectroDB). Comfort working in Python for data pipelines, ML ops, or scripting. Proven ability to break down complex domains, write RFCs, and ship iteratively in an agile, test-first environment. Excellent communication skills and a collaborative, mentorship-oriented mindset. … in London or Barcelona. Small, senior team—no heavy management layers, lots of autonomy. One-week sprints, async-friendly comms, and fast decision cycles. We value clean code, continuous learning, and doing right by artists. Competitive base salary + meaningful equity. Infinite paid holiday (+ local public holidays). Flexible hours. Complimentary gig tickets and backstage passes to all More ❯

understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Proficient in cloud deployments- AWS Preferred Qualifications, Capabilities, And Skills Familiarity with Pyspark and Databricks ABOUT US J.P. Morgan is a global leader in financial More ❯

open-minded to the opportunities the cloud provides. What you’ll be doing... Building reusable data pipelines at scale, working with structured and unstructured data, and feature engineering for machine learning or curating data to provide real-time contextual insights to power our customers' journeys. Using industry-leading toolsets, as well as evaluating exciting new technologies to design More ❯