1,926 to 1,950 of 10,133 Machine Learning Jobs in the UK

of the following would be beneficial: ETL/TEL solutions The Google family of APIs The UK insurance sector Statistical analysis methods LightGBM, XGBoost, CatBoost or similar python-focused ML libraries Personal Attributes Good interpersonal and influencing skills Attentive to detail - getting it 'right first time' Self-motivated, able to use initiative and think creatively Organised approach to work Ability … and opportunity for annual pension review Health cashback plan Hybrid working arrangements Additional service-related holidays Option to buy additional holidays Cycle to work scheme Full access to online learning system Recognition bonuses Location The company operates a hybrid working policy, where employees can work both from home and from our office at Amelia Street, Belfast BT2 7GS. How More ❯

on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. We Offer A multitude of training opportunities from classroom to e-learning, mentoring and coaching programs as well as the chance to gain industry recognized certifications Regular and frequent promotion and progression opportunities to ensure you can drive and develop your … the UK for the last 10 years. You must be able to hold or gain a UK government security clearance. Preferred Technical And Professional Experience Experience with AI/ML workloads and infrastructure. Knowledge of cybersecurity best practices and threat mitigation. Familiarity with multiple cloud vendors (e.g., AWS, GCP, Azure). Seniority level Seniority level Mid-Senior level Employment type 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.) Interest in developing industry trends, especially around data management platforms Previous experience supporting at least one Capital Markets Line of Business BS/BA degree More ❯

analytics teams to design a domain-driven, unified data architecture. Support the creation of a real-time, scalable data layer that enables advanced analytics, AI-driven decision-making, and machine learning capabilities. Contribute to the development of data governance and compliance strategies. Technical Leadership & DevOps Culture Lead by example across delivery teams, offering hands-on technical support and More ❯

analytics teams to design a domain-driven, unified data architecture. Support the creation of a real-time, scalable data layer that enables advanced analytics, AI-driven decision-making, and machine learning capabilities. Contribute to the development of data governance and compliance strategies. Technical Leadership & DevOps Culture Lead by example across delivery teams, offering hands-on technical support and More ❯

of the selection and maximize their impact on the Amazon top-line, all the while continuously growing the overall selection. We develop and apply technologies spanning parallel processing, storage, Machine Learning, Natural Language Processing, and Image Recognition. You will be part of Services Support Team under Catalog Support and Programs (CSP) in ASCS Org. The mission of the More ❯

part of our Agile development team. In this role, you’ll drive the evolution and implementation of data products, ensuring high-quality, accessible, and trusted data that fuels analytics, machine learning, and personalised experiences. You will work cross-functionally to create data products that empower teams across the business, from marketing to operations, and enable insight-driven decisions. More ❯

United Kingdom 1 day ago Engineering Manager - strong headcount growth experience - £150k - ID40652 SVP, Software Engineering Manager – Risk Technology London, England, United Kingdom 1 week ago Software Engineering Manager, Machine Learning London, England, United Kingdom 2 hours ago London, England, United Kingdom 4 hours ago Senior Lead Software Engineer - Team Lead - Accelerator Business London, England, United Kingdom More ❯

degree in a relevant field or equivanlent; advanced degrees or certifications are advantageous. Relevant certifications (, ITIL, Agile, SRE). Strong understanding of emerging technologies in retail, including AI/ML, IoT, and Edge amongst others. What's in it for you: At Accenture in addition to apetitive basic salary and car allowance, you will also have an extensive benefits package … to do their best 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 us 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 ❯

or domain knowledge understanding (e.g. finance, energy, forestry, etc) until a fully data-driven pipeline that delivers valuable insights. This entire pipeline can include (among others): “Data Scientists” developing machine learning and other statistical models, “Data Engineers” performing ETL (Extract, Transform, Load) and other data wrangling tasks, “DevOps” supporting the entire hybrid IT Infrastructure (e.g. cloud, on-premise More ❯

Business Intelligence tools such as SQL, MS Excel, PowerBI, Tableau or similar tools. Knowledge on programming languages such as R or Python for data science and the application of Machine Learning. Drives and encourages the practice of continuous improvement and organisational change; positively embraces change and draws out new ideas, opportunities, and solutions. Ability to analyse and report on … working within the Higher Education sector. Why Arden: At Arden, you will become a part of a passionate and dedicated team who are committed to removing unnecessary barriers to learning and making education more accessible. Our people work hard to ensure our students journeys are the best they can possibly be, as such we want to reward our people More ❯

Business Intelligence tools such as SQL, MS Excel, PowerBI, Tableau or similar tools. Knowledge on programming languages such as R or Python for data science and the application of Machine Learning. Drives and encourages the practice of continuous improvement and organisational change; positively embraces change and draws out new ideas, opportunities, and solutions. Ability to analyse and report on … working within the Higher Education sector. Why Arden: At Arden, you will become a part of a passionate and dedicated team who are committed to removing unnecessary barriers to learning and making education more accessible. Our people work hard to ensure our students journeys are the best they can possibly be, as such we want to reward our people More ❯

Business Intelligence tools such as SQL, MS Excel, PowerBI, Tableau or similar tools. Knowledge on programming languages such as R or Python for data science and the application of Machine Learning. Drives and encourages the practice of continuous improvement and organisational change; positively embraces change and draws out new ideas, opportunities, and solutions. Ability to analyse and report on … working within the Higher Education sector. Why Arden: At Arden, you will become a part of a passionate and dedicated team who are committed to removing unnecessary barriers to learning and making education more accessible. Our people work hard to ensure our students journeys are the best they can possibly be, as such we want to reward our people More ❯

team: Data & AI, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. Our focus is on big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix More ❯

SBL Data Engineering Employment Type: Permanent - Full Time Location: Bristol Compensation: Competitive Package Description The Machine Learning Operations Engineer will support the development and maintenance of the ML Ops platform for Project Pegasus. This role involves building and maintaining the data infrastructure required for the platform, developing API services, and ensuring the integration of ML models into the … Integrate the platform with Snowflake for data storage and retrieval. Collaborate with cross-functional teams to deliver the platform in an agile manner. Ensure the platform supports offline analytics, ML models, lookup tables, and pricing actions. Conduct load, end-to-end, and performance testing. Produce pipeline code for running ML Ops jobs and create an Azure DevOps (GitHub) process for … source control and deployment. What you'll need: Experience in ML Ops engineering, with a focus on Azure and Databricks. Knowledge of Postgres, Azure Cache (Redis) and Azure Redis. Experience with Databricks Delta Live tables and Snowflake. Experience in Data (Delta) Lake Architecture. Experience with Docker and Azure Container Services. Familiarity with API service development and orchestration. Strong problem-solving More ❯

Skills Data Solution Knowledge Working knowledge of modern data architectures, vendor data platforms (e.g., Azure, AWS, GCP), and data disciplines (e.g., engineering, data lakes, data warehousing, analytics, data science, machine learning and governance). Experience shaping or delivering data solutions in a consultancy, pre-sales, or technical advisory role. Knowledge and experience of one or more of the More ❯

Employment Type: Permanent - Full Time Location: Bristol Compensation: Competitive Package Description The Machine Learning Operations Lead will be responsible for overseeing the development and deployment of the ML Ops platform for Project Pegasus. This role involves leading a cross-functional team to ensure the successful implementation and integration of ML models into the live pricing environment. The ML … Ops Lead will work closely with data scientists, data engineers, and external consultants to deliver a robust and scalable ML platform. What you'll be responsible for: Lead the development and deployment of the ML Ops platform. Oversee the design, build, and testing of API services in the development environment. Ensure the platform supports offline analytics, ML models, lookup tables … Manage the integration of the platform with RADAR and other systems. Ensure Code is production ready and follow the SDLC best practices. What you'll need: Proven experience in ML Ops engineering, with a focus on Azure and Databricks. Strong knowledge of Postgres, Azure Cache (Redis) and Azure Redis. Experience with Databricks Delta Live tables and Snowflake. Experience with Docker More ❯

London Area, United Kingdom . Quantitative Research Analyst - eTrading London, England, United Kingdom 1 month ago Quantitative Researcher – Trading Research London, England, United Kingdom 2 weeks ago Quantitative Researcher (Machine Learning) London, England, United Kingdom 3 months ago Fixed Income Quant Analytics – Prestigious Hedge Fund – Significant increase in base + large bonus London, England, United Kingdom 5 days More ❯

methodologies, and related technologies. Candidates who possess prior hands-on software development experience and a solid grasp of SDLC, along with proficiency in advanced analytics, data science, data engineering, machine learning, cloud infrastructure, and advertising and marketing technology concepts are preferred. Leadership: Demonstrated ability to lead and inspire cross-functional teams, manage stakeholder expectations, and drive results. Communication More ❯

impart knowledge and build their skills. You'll have the ability to move between working on our client facing web application stack, internal web applications and tools for our ML/AI serving & development systems to create client value. Write high quality documentation and implement user & system metrics and observability as you go to continually learn, assess and improve 9fin … work Work abroad for up to 3 months a year 1 month paid sabbatical after 5 years of service Enhanced parental leave & flexible working arrangements available Training & Culture Professional learning and development budget Quarterly team socials Bi-annual engineering hackathons Summer and Winter company social events Travel & accommodation budget for social attendance if living far from london 9fin is More ❯

SBL] Data Engineering Employment Type: Permanent - Full Time Location: Bristol Compensation: Competitive Package Description The Machine Learning Operations Engineer will support the development and maintenance of the ML Ops platform for Project Pegasus. This role involves building and maintaining the data infrastructure required for the platform, developing API services, and ensuring the integration of ML models into the … Integrate the platform with Snowflake for data storage and retrieval. Collaborate with cross-functional teams to deliver the platform in an agile manner. Ensure the platform supports offline analytics, ML models, lookup tables, and pricing actions. Conduct load, end-to-end, and performance testing. Produce pipeline code for running ML Ops jobs and create an Azure DevOps (GitHub) process for … source control and deployment. What you'll need: Experience in ML Ops engineering, with a focus on Azure and Databricks. Knowledge of Postgres, Azure Cache (Redis) and Azure Redis. Experience with Databricks Delta Live tables and Snowflake. Experience in Data (Delta) Lake Architecture. Experience with Docker and Azure Container Services. Familiarity with API service development and orchestration. Strong problem-solving More ❯

which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to … Kingdom 2 weeks ago System Software Engineer - GCC/LLVM compiler, tooling, and ecosystem Glasgow, Scotland, United Kingdom 1 week ago Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Glasgow, Scotland, United Kingdom 4 months ago Glasgow, Scotland, United Kingdom 5 hours ago Software Engineer - Python - Container Images Glasgow, Scotland, United Kingdom 1 month ago Software Engineer - Cross More ❯

April 2020 and is licensed as SaaS to assess over £200bn of non-life insurance business. DevOps and site reliability are particularly important for InsurSight because the platform uses machine learning to analyse large, complex datasets in the cloud. As a cloud-native application, it relies on many interconnected services working seamlessly together—from data storage and compute More ❯

through 2000AD, publish comics and graphic novels such as Judge Dredd. About the Role: We are seeking a passionate Junior Machine Learning Engineer to join our innovative ML Team. You will be part of a small, dynamic group focused on research, development, and AI-driven solutions for our game products. Your responsibilities include supporting the Head of Department … assisting Machine Learning Engineers, and helping create AI/ML systems for generating game levels, enhancing our products, developing tools, and integrating ML/DL models into real-time gaming environments. Our current focus is on Creating 3D Worlds and Game Levels using ML/DL technologies. You will support research into state-of-the-art advancements, build … train, validate models, and analyze data. Experience with satellite imagery, point cloud data, and proprietary datasets is a plus. You will assist in deploying ML models into production environments and ensure smooth operation of ML systems. This role is based at our riverside headquarters in Oxford, offering a creative and relaxed atmosphere. We provide a relocation package, including assistance, temporary More ❯