1 to 25 of 1,053 Machine Learning Jobs in the UK

will build Edge-computing and IoT applications for processing vision data and communication layers for the compute-constrained edge devices. You'll be deploying Machine Learning models to production and optimising the platform runtime performance, this is mainly in C++ with parts running on GPU. There's a more »

algorithms and target identification tools to find and validate drug targets and is looking to add an experienced computational biologist with deep expertise of ML/AI approaches to their well-established team to help progress their pipeline. They have a highly collaborative and social atmosphere, with a mix of more »

If you’re interested, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, Machine Learning, Data Science or Simulation contact us today more »

do what) Inspirational leadership style and entrepreneurial energy Past experience in one of the areas like enterprise software, Large scale transaction processing, AI and machine learning software is desirable Scaling up platforms serving a few geographies and 10X millions to multi geography multi entity 100X millions would be more »

environment. Experience of two or more of the following techniques: Manipulating large datasets. Predictive analytics. Segmentation analysis. Hypothesis Testing. Statistical Data modelling. Optimisation. Simulation. Machine learning. Desirable Criteria: A willingness to take ownership of personal development, setting realistic goals to improve abilities. Stakeholder engagement skills to support requirements gathering more »

a Senior AI Consultant, you will work on a range of projects, using your experience in data science and AI technologies such as strong machine learning, generative AI, computer vision.../strong/p br br Candidates should take the time to read all the elements of this more »

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 more »

processes and standards (ISO13485, 62304, 60601) 4. Experience in designing proof of concept (PoC) systems using Python/MATLAB and microcontrollers 5. Knowledge of machine learning and AI 6. Proven track record in electronic design, flex circuits, experience using CAD, AutoCAD Electrical, Eplan or equivalent. 7. Experience with more »

OFFICE 💸 £40k - £50k plus bonus 💰 Relocation budget available !! 💥 Incredible culture; highly collaborative, flat, sociable, relaxed yet driven 💥 Diverse roles encompassing insights, data visualisation and machine learning across multiple titles 💥 Would suit those with a passion for football and video gaming ⚽ 💥 Work amongst friendly, down to earth, happy people … order to predict player behaviours and really get under the skin of customers. Skills & experience required: Educated to degree level in a numerate subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. Statistical analytics background employing a wide variety of techniques to solve problems and more »

neo4js, pinecone or milvious or similar. Experience building native desktop apps. Experience with NLP libraries and frameworks, such as spaCy, or Transformers. Familiarity with machine learning concepts and the ability to work with NLP datasets. Benefits (Remote must be within 4-5 hours of CET timezone more »

C Transport Maritime, Trans Sea Transport and BW Epic Kosan. About the job Overview: Join a dynamic team at the forefront of revolutionizing human-machine interaction through generative AI in collaboration with global partners. We are poised to redefine the essence of human-AI collaboration, unlocking hidden patterns and … industrial sectors. This is an exciting opportunity to be part of a groundbreaking initiative that aims to redefine industry standards through AI and human-machine collaboration. Responsibilities: Algorithm Development: Design and implement advanced algorithms for generative AI models that enhance human-machine interaction within the specified industries. Data … Training and Evaluation: Develop and train generative AI models, ensuring their effectiveness and reliability through rigorous evaluation processes. Collaboration: Collaborating with an elite team, learning and contributing to transitioning from conventional language models to cutting-edge Large Language Models (LLMs) and fine-tuning techniques such as LoRA and QLoRA. more »

embedded software in Linux using Linux CLI + Experience with version control software (i.e. git) + Hands on experience with hardware debugging Bonus: + Machine vision/machine learning knowledge + Experience with coding standards like CERT & MISRA What you’ll get: + £50-65k + more »

Lakes, Data factories, ETL techniques, Synapse and PowerBI MS Logic and Power Apps Azure DevOps Experience with the following would be beneficial: AI + Machine Learning Analytics: Analysis Services, Data Lake Analytics, Data Catalog DevOps: Application Insights Key Competencies Will use a coaching and influencing style to achieve more »

field. Proficiency in handling behavioural data and modelling. Prior experience in the Health/Pharma industry or domain knowledge. Expertise in developing and deploying machine learning models. Proficiency in programming languages such as Python or R. Strong communication skills, capable of effectively conveying technical concepts to both technical more »

re looking for as many as possible of the following on your CV: Proficiency in Python – you’re familiar with its data science and machine learning libraries. Ideally, experience with cloud-based platforms, particularly Microsoft Azure services. A proven ability to develop detailed specifications based on business requirements. more »

R or Python and Earmix Have built and worked with pricing models such as generalised linear models (GLMs), gradient boosting models (GBMs) and other machine learning algorithms Have experience projecting loss ratios to ultimate Know the benefits of price optimisation and how to use it in practice Understand … Insurance Up to 13 weeks of parental leave at full pay, regardless of your gender Flexible working hours Annual personal training allowance and regular learning opportunities Monthly flexible wellbeing allowance to help you stay healthy and productive Access to Employee Assistance Program It goes without saying that we provide … people based across the US, UK and the Netherlands, we value: Generosity, inclusivity, open-mindedness and diversity The delivery of great results and learning in the open Freedom to make long-term, high-impact decisions The wellbeing of our teammates and the people around us And... Enjoying the ride more »

Python/Java Previous experience deploying Software into the Cloud EKS, Docker, Kubernetes Apache Spark or NiFi Microservice architecture experience Experience with AI/ML systems more »

a ReactJS front end, hosted on AWS. There's extensive greenfield developement ongoing with opportunities to work in areas such as graph theory and machine learning. As the team is taking shape, they're interested in hiring backend weighted and fullstack engineers. The team practice engineering best practices, pair more »

Senior Software Engineering Azure MicroServices Decision \ ML Applications Proven track record of internal development & Promotions. Does it sound like a Product, Tech stack and culture you are looking for? A SaaS company based out of Manchester, offering remote work are about to build its 4th squad in 2 years as … they embark on a greenfield project to create its Decision engine based on AI\ML tech. We are looking to add a Senior Developer to the new squad. Developers who love complex solutions and creating simple applications to solve these problems using the latest .Net Core and Azure technology in more »

Machine Learning Engineer up to £75 000 London NEW Machine Learning Engineer Opportunity Available with a Leading Organisation! The Company: Are you an expert in Machine Learning? We are on the lookout for a Machine Learning Engineer to join an ambitious team. … through Data scientists/Engineering and Machine Learning Ops' best practices and you will be working on Recommendation Systems and Deploying complex ML Models. The Role: As a Machine Learning Engineer: Apply Machine Learning Engineering project You will build the Machine Learning … SKILLS AND EXPERIENCE: You need to have a MSc or PhD level in Stem subject. You must have proven knowledge in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka more »

Data Scientist to join a growing team where you will be designing end-to-end solutions; from data ingestion and processing, to running predictive ML models, and serving outputs for consumption by the business. RESPONSIBILITIES Designing Machine learning models to be applied to financial market products. Working within … a team of Data Scientists, Machine Learning Engineers, and Investment Analysts to add value to key stakeholders. Be a key part of the strategy for multi-million pound decisions! REQUIREMENTS Masters/PhD degree in Computer Science or STEM subject Commercial Data Science experience Knowledge of statistics and … provided for this role For more information, please apply here or send an up-to-date CV to morgan.beck@xcede.com Machine Learning, ML, Statistics, Python, SQL, Finance, Investment, Predictive modelling, Engineering, Financial modelling more »

of the largest Healthcare organisations across the UK! They are looking for Senior Data Scientist to join their team, working on high-impact, bespoke machine learning models as part of a high-performing team leveraging advanced analytics techniques to extract insights from complex dataset. Responsibilities: Working closely within … a team, to design and build advanced performance metrics machine learning models. Providing advice and upskilling juniors on statistical methods, healthcare and science data, products, data manipulation, and dashboarding products. Developing new data-driven solutions and approaches to support new commercial solutions and project proposals Stay actively informed … Excellent communication skills with proven experience working with stakeholders or clients Industry specific experience in either consulting or healthcare Experience building capacity and demand machine learning models. How to Apply: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords more »

to join their well established Data Science function acting as a Senior Machine Learning Engineer – this will mean that you focus on ML infrastructure and deployment methods. They’re an AWS house, so massive bonus points for experience in that kind of environment – particularly serverless/Lambda. Responsibilities … into initial model design & development Help train and mentor others when it comes to best practice around engineering & model deployment methods Ensure that all ML-based infrastructure is in the best possible state. Requirements Commercial experience working as an ML Engineer model deployment) or MLOps/Data Science Engineer role. … End to end "full stack" ML experience in AWS Strong Python coding skills CI/CD experience Ideally some Time Series experience Any LLMs experience in a commercial environment is a bonus If this role interests you and you would like to find out more, please apply here or contact more »

maintain high-quality software solutions using C# and .NET. Utilise AWS services to build, deploy, and manage applications in the cloud. Implement AI and machine learning algorithms to enhance software functionality and performance. Collaborate with cross-functional teams to gather requirements and deliver solutions that meet business needs. … focus on C# and .NET. Proven experience with AWS services such as EC2, S3, Lambda, RDS, and DynamoDB. Hands-on experience with AI and machine learning frameworks and libraries. Strong understanding of software development methodologies, tools, and processes. Excellent problem-solving skills and the ability to work effectively more »

and translate these into clear requirements for your analysis. Identify opportunities for the use of advanced analytics techniques (e.g., marketing analytics, predictive modeling, and machine learning) to provide additional value to clients. Use robust statistical techniques when appropriate and be able to communicate your methodology to a wide more »