1,201 to 1,225 of 2,524 Machine Learning Jobs in England

between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed … many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation More ❯

is the engine that powers the rest of the business. We build web applications that connect families and carers with each other and Elder. We use data, algorithms, and machine learning to find the right carer to look after each of our customers. In 2025, we'll continue our journey towards becoming the UK's leading live-in … holiday + bank holidays + 1 extra day holiday for every year worked up to 5 years Dental and health insurance Hybrid office (1 day in the office, Wednesday) Learning & home officebudget Sponsored quarterly team and company socials Mentoring and coaching programmes to help you achieve your personal and career goals Macbook + any particular extras you require Cycle More ❯

infrastructure, science, and product conversations. Qualifications 5+ years of experience working in a software engineering role. 3+ years of experience building and maintaining production-grade data infrastructure, preferably for ML/AI use cases with 1+ years working with LLMs. Proficiency with AWS data tooling and cloud-native services; experience with Amazon Bedrock or Claude integration is a plus. Experience More ❯

infrastructure, science, and product conversations. Qualifications 5+ years of experience working in a software engineering role. 3+ years of experience building and maintaining production-grade data infrastructure, preferably for ML/AI use cases with 1+ years working with LLM's. Proficiency with AWS data tooling and cloud-native services; experience with Amazon Bedrock or Claude integration is a plus. More ❯

+ 10% bonus + 10% Pension + Private Healthcare LONDON - 4 Days in office Lead a growing team of AI Scientists working on high-impact, AI driven machine learning models to drive innovation in the BioTech space - specifically around drug discovery and RNA sequencing ROLE AND RESPONSIBILITIES Working closely within a small team, to design and build models More ❯

+ 10% bonus + 10% Pension + Private Healthcare LONDON - 4 Days in office Lead a growing team of AI Scientists working on high-impact, AI driven machine learning models to drive innovation in the BioTech space - specifically around drug discovery and RNA sequencing ROLE AND RESPONSIBILITIES Working closely within a small team, to design and build models More ❯

Solve industry relevant problems Design and implement artificial intelligence systems and applications that can simulate human intelligence processes through the creation and validation of algorithms, neural networks, and other machine learning techniques. Collaborate with cross-functional teams to ensure seamless integration of software components. Stay updated with the latest trends and advancements in the Technology & Telecoms industry. Participate More ❯

Engineering. The Head of Data Engineering will work in a Data Rich Testing environment, and be will be tasked with building their own team to help deploy cutting edge Machine Learning techniques in a number of different areas of the company. Reporting into the Head of Data Science & working closely with the CTO and Software Engineering team, the More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with More ❯

on multiple, complex initiatives, drive continuous improvement on key metrics (business value, cost efficiency, speed and quality of delivery) and contribute to key decision making across the Data and Machine Learning engineering space on technical approaches to balance delivering near-term commercial impact and building long-term foundations. Location/WFH: You can work from home most of More ❯

Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ More ❯

Agile development methodologies and version control systems such as Git. Preferred Skills but not essential to have Experience with front-end development (React, Angular, or Vue.js). Knowledge of machine learning or AI-powered analytics. Familiarity with IoT and energy monitoring systems is a plus. Understanding of energy management systems and sustainability practices. Benefits Competitive salary Plus personal More ❯

of efficiency - we use the best-in-breed technologies to commit quality at speed and world-class support to address critical business challenges. We leverage Gen AI, AI/Machine Learning and Blockchain to unlock the next stage of digitalization for traditional businesses. Our handpicked team is adept at web & enterprise development, mobile apps, QA and DevOps. Ulster 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 ❯

Services & Banking customers Hands on experience with Python Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.) Experience with data science and machine learning technology People want to buy from people who understand them. Our Solution Engineers build connections, relationships and trust with our customers that last. We love to learn More ❯

a B2C industry (e.g., consumer/retail/retail financial services/telecoms/media). - Experience with big data tools such as Scala, PySpark, AWS products. - Experience with machine learning models and their applications in the Tech industry. - Publications in world renowned scientific journals. - Excellent in using non-technical yet precise languages, verbally and in writing, to More ❯

to have: Hands on experience with Python Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.) Experience with AI, data science and machine learning technologies People want to buy from people who understand them. Our Solution Engineers build connections, relationships and trust with our customers that last. We love to learn More ❯

command of SQL Server and API's, plus will be an advocate of software design patterns, CI/CD and DevOps in an Agile environment.Experience or personal projects exploring Machine Learning and AI would fit well. What you'll get in return You'll work for a technology focused company building innovative products. There's an excellent rewards More ❯

with prospective customers. Analyze conversational UX use cases for feasibility and value creation for the client. Prepare a high-level estimate of effort involved and skills needed from a machine learning perspective for a specific customer engagement. Work closely with product management to provide input and guidance for product roadmap and enhancements Work closely with the delivery teams More ❯

and leverage their expertise in cloud technologies to drive their customers success. Delivery Consultants have a deep understanding of AWS products and services, including compute, storage, networking, security, databases, machine learning, and serverless technologies. Delivery Consultants are proficient in delivering complex, scalable, and secure solutions tailored to meet the specific needs of each customer. Delivery Consultants work closely More ❯

Slurm). Familiarity with both long and shortread technologies (e.g. ONT, Illumina). Basic knowledge of metagenomics, antimicrobial resistance analytics or public health monitoring. Interest in data visualisation or machine learning methods for genomics. We offer the following salary and benefits: Salary:Competitive salary on offer Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital More ❯

teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the Role As a Data Platform Engineer, you'll help shape and scale our data infrastructure, making More ❯

related field. Experience with remote sensing technologies and water quality monitoring equipment is desirable. Experience working with government agencies and environmental regulations is desirable. Experience using Artificial Intelligence/Machine Learning to aid interpretation/prediction of water quality is desirable. What's in it for you? Competitive salary from £55,000 to £65,000 per annum, depending More ❯

principles and employing CMake for build management. Develop and integrate robotics applications utilizing ROS, including advanced OpenCV, Boost, Standard library, and Jsoncpp for efficient data processing and manipulation. Implement machine learning models for object detection, particularly using YOLOv5, and optimize performance using Nvidia CUDA hardware acceleration. Develop, test, and deploy cloud-based applications and simulations, using Azure DevOps More ❯