2,651 to 2,675 of 3,878 Machine Learning Jobs in the UK

of statistical analysis and experiment design. Ideally a bachelor’s degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential Experience in developing machine learning models using advanced techniques. Expert proficiency in SQL and databases, with the ability to write structured and efficient queries on large data sets. Experience with dbt, Python More ❯

Type: Full-Time/Permanent Salary: Negotiable DoE £70,000 - £100,000 plus good bonus Job Reference: J12971 About the Company Our client are a fast-growing Data Science, Machine Learning, and AI Consultancy supporting some of the UK and Europe's leading private equity firms and high-growth businesses. Their work spans strategic data science engagements, AI More ❯

Big role with an innovative scale-up which has big name brands on their client list already. The client A fast-growing tech company working at the intersection of machine learning and complex engineering, with a particular focus on helping manufacturers design and deliver better products, faster and more sustainably. Their software uses advanced, data-efficient AI to … in system design and calibration. Backed by major industry investors and recognised in national innovation awards, they're scaling rapidly with a focus on impactful, real-world applications of machine learning. Looking for someone who can come into their Cambridge office, 1-2 times a week ideally. Sponsorship, is not being offered. The role As a senior design leader More ❯

shape exciting and innovative projects that will be critical to achieving the strategic business objectives. You will have the chance to dive into cutting edge tech including Azure, AI, Machine Learning, and more. As Lead Developer, you will be working across multiple application stacks providing expertise in selecting new technologies, maintaining existing platforms and developing exciting new solutions More ❯

Type: Full-Time/Permanent Salary: Negotiable DoE £70,000 - £100,000 plus good bonus Job Reference: J12971 About the Company Our client are a fast-growing Data Science, Machine Learning, and AI Consultancy supporting some of the UK and Europe's leading private equity firms and high-growth businesses. Their work spans strategic data science engagements, AI 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 ❯

and improving ETL processes. Strong proficiency in SQL and other programming languages used for data analysis. Advanced expertise in Power BI or similar data visualisation tools. Solid understanding of machine learning platforms and algorithms. Vision, insight, and the drive to lead change and deliver meaningful results. What you'll get in return A competitive salary 33 days of More ❯

Statistics, Mathematics or another analytical subject Experience in a pricing or actuarial role within general insurance Experience with price optimisation tools (Earnix/Radar) Experience using and implementing advanced machine learning methods Able to communicate complicated statistical concepts to an informed but non-technical audience Experience with using software packages such as R or Python to solve problems More ❯

Statistics, Mathematics or another analytical subject Experience in a pricing or actuarial role within general insurance Experience with price optimisation tools (Earnix/Radar) Experience using and implementing advanced machine learning methods Able to communicate complicated statistical concepts to an informed but non-technical audience Experience with using software packages such as R or Python to solve problems More ❯

Statistics, Mathematics or another analytical subject Experience in a pricing or actuarial role within general insurance Experience with price optimisation tools (Earnix/Radar) Experience using and implementing advanced machine learning methods Able to communicate complicated statistical concepts to an informed but non-technical audience Experience with using software packages such as R or Python to solve problems More ❯

selling and solution-based sales approaches Industry Knowledge Understanding of the European beauty/skincare market or demonstrated ability to quickly learn complex technical products Familiarity with AI/ML concepts and ability to communicate technical benefits to non-technical buyers Existing network within UK/EU beauty or retail industries is a strong advantage Core Competencies Exceptional verbal and … Fully remote position with flexibility across UK and EU time zones Regular travel opportunities to meet clients across Europe (expenses covered) Access to cutting-edge AI tools and continuous learning opportunities More ❯

Statistics, Mathematics or another analytical subject Experience in a pricing or actuarial role within general insurance Experience with price optimisation tools (Earnix/Radar) Experience using and implementing advanced machine learning methods Able to communicate complicated statistical concepts to an informed but non-technical audience Experience with using software packages such as R or Python to solve problems More ❯

Statistics, Mathematics or another analytical subject Experience in a pricing or actuarial role within general insurance Experience with price optimisation tools (Earnix/Radar) Experience using and implementing advanced machine learning methods Able to communicate complicated statistical concepts to an informed but non-technical audience Experience with using software packages such as R or Python to solve problems 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 ❯

of statistical analysis and experiment design. Ideally a bachelor's degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential Experience in developing machine learning models using advanced techniques. Expert proficiency in SQL and databases, with the ability to write structured and efficient queries on large data sets. Experience with dbt, Python More ❯

Experience with tech stack including: Language: Python, Golang Platform: AWS Framework: Django, Spark Storage/Data Pipelines: Postgres, Redis, ElasticSearch, Kafka, Parquet Nice To Have Prior exposure to production machine learning systems. More ❯

Group Framework (ILM, LCR, NSFR, PRA110, and other secondary monitoring metrics), Bank financial systems, related business areas, products and their strategic drivers Create liquidity modelling capabilities in Python, leveraging machine learning capabilities Ability to query big data, perform data transformation and data analysis on large datasets Ability to work independently, manage offshore resources and influence key stakeholders to More ❯

Group Framework (ILM, LCR, NSFR, PRA110, and other secondary monitoring metrics), Bank financial systems, related business areas, products and their strategic drivers Create liquidity modelling capabilities in Python, leveraging machine learning capabilities Ability to query big data, perform data transformation and data analysis on large datasets Ability to work independently, manage offshore resources and influence key stakeholders to More ❯

functional team that deals with ambiguity and have experience helping your team and partner team resolve that ambiguity. You have experience with or a strong desire to work with Machine Learning specialists to apply various models (including large language models) to real-world problems. You have demonstrable experience working with stakeholders, especially non-technical stakeholders at the senior … London) We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. £1,000 learning budget each year to use on books, training courses and conferences. We will set you up to work from home; all employees are given Macbooks and for fully remote More ❯

High standard of record keeping, incident reporting, and compliance documentation, aligned with the rigour needed for verifying transition activities and capturing results. Ability to think outside the box. Adaptability & Learning Agility Willingness and proven ability to rapidly absorb complex product and technical knowledge and translate it into meaningful operational terms for the customer. Collaborative Working Style Experience working as … 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 ❯

and reliable deployments. Our Tech Stack C Computer Vision: C+/20, Qt, Boost, ZeroMQ, ElasticSearch. Web: Java, Node.js, RESTful APIs, JUnit. General: Git, Docker, AWS, Jenkins, GitHub Actions. ML: Python, TensorRT. Our agile teams work with the latest technologies to build solutions for sports like tennis, cricket, football, and more. You'll collaborate on projects like real-time tracking … data warehousing, and broadcast enhancements, all in a culture of openness, learning, and innovation. UK Benefits: Annual Leave: 25 days + 8 public holidays Enhanced Pension Scheme: 5% matching Flexible Working: Hybrid model (2 days in the office per week) Wellness: Complimentary Unmind app, onsite gym (Basingstoke) Exclusive Perks: Access to sporting events and tickets, Sony Group Company discounts More ❯

the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we develop world-class product support More ❯

quants - A quantitative or technical background (e.g., in finance, economics, engineering, mathematics or physics) is strongly preferred We'd love to see: - Programming experience, preferably with Python - Knowledge of Machine Learning Algorithms More ❯

are able to use Observability tooling to understand, diagnose, improve, debug, measure and visualise platform health. You are up-to-date with the latest technologies including AI for example Machine Learning for personalisation or automation of processes You have experience of breaking down complex problems to into incremental, manageable valuable chunks You take a collaborative, data-driven, and … from home and from our office depends on a balance of those needs, and you'll agree this with your manager. Whether it's through a shared project, a learning and development opportunity, or an afterwork social - we trust our teams to make the right decisions (for them and us) about where and how they work each day. We More ❯

involve? Lead on the build of personalisation and recommendation models that enhance customer experience (CX). Help design a reliable, secure, scalable platform that allows Data Scientists to bring machine learning models to production. Drive the optimisation of performance analyses, landing page testing and funnel optimisation. Act as a bridge across teams, fostering an environment that allows for More ❯