1 to 25 of 476 Permanent Machine Learning Jobs in London

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 »

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 »

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 »

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 »

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 »

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 »

AWS certifications. Experience with big data technologies such as Hadoop, Spark, or similar. Knowledge of data governance and data quality best practices. Familiarity with machine learning and AI concepts and tools. more »

high-velocity startup. Joining this exceptional team of ex-Google and ex-Facebook engineers, you would be solving interesting problems at the intersection of Machine Learning and Infrastructure. The Role Design and implementation of new backend APIs and working with the edge team. Implementing user-facing front-end more »

ML Processor Architect I am seeking a ML Processor Architect to join my semiconductor client in London for at least 2 days onsite per week, and contribute to the development of a unique processor technology, all software and hardware built from scratch, to run the world’s largest language models … architectures Required experience MSc or PhD with minimum 5+ years industry experience developing performance architecture of NPU/GPU/CPU/AI accelerators ML model training, quantization, sparsity, model preprocessing etc. Software-hardware co-design PyTorch, TensorFlow NCCL, OpenMPI C/C++, Python Verilog, RTL What’s on offer … Architect is most likely to achieve a six-figure salary Hybrid working Interested? This is a great opportunity for a MSc or PhD-educated ML Processor Architect. Please apply now for immediate consideration and speak with Chris Wyatt at IC Resources who is recruiting for this position in London, Greater more »

Exciting opportunity for a Machine Learning Manager to join an innovative start up who are developing a first of its kind medical device. They are looking for an experience Machine Learning engineer who has led teams in developing timeseries models and dealing with numerical data. Responsibilities … Implement machine learning strategies for medical devices, focusing on model development, deployment, and data collection. Guide a team of data analysts and machine learning specialists to ensure the successful execution of AI projects. Collaborate with biomedical engineers, product designers, and other stakeholders to integrate machine learning techniques into medical device development. Develop predictive models and algorithms to identify innovative solutions, enhance existing designs, and predict device-user interactions in the medical device domain. Design and conduct experiments and validation protocols to ensure the accuracy and reliability of machine learning models for more »

is a global luxury retailer looking for an MLOps Engineer to join their strong AI department, where you will help build and maintain the ML infrastructure as well as supporting the deployment and productionisation of machine learning models. The AI department is a cross functional team who work … a range of projects including NLP, Recommendation, Forecasting and LLMs Responsibilities: Create and manage the machine learning infrastructure Streamline the process of ML experiments into production Build and implement scalable tools and services Continuously explore new technologies to enhance performance, maintainability, and reliability of the ML systems. Apply … across the business What you need to succeed: Strong background as a MLOps Engineer, Platform Engineer or Devops Engineer Must have experience working on ML infrastructure using Docker and Kubernetes Minimum of 3 to 5 years experience Extensive experience with Python Familiarly with Terraform, Databricks and Azure Ability to implement more »

and that partners with huge brands! They are looking for a Behavioural Data Scientist to join their team, working on high-impact, commercially driven machine learning models Responsibilities: Working closely within a team, to design and build models across NLP, clustering and regression You will collaborate closely with … facing experience How to apply: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Forecasting, Machine Learning, Data Science, Data Scientist, Consultancy, Churn, Propensity more »

generation, and strategy implementation, contributing to profit generation across a range of trading strategies. Key Responsibilities: Conduct research using classical statistical methods and modern machine learning techniques to identify and develop new trading strategies. Analyze large datasets to uncover patterns and insights that can drive alpha generation. Collaborate … is a strong bonus. Strong programming skills in languages such as Python, R, or C++. Experience with data analysis and statistical modeling. Familiarity with machine learning frameworks and techniques. Excellent problem-solving abilities and attention to detail. Ability to work both independently and collaboratively in a fast-paced more »

for business improvements Key Skills 3+ years of Python experience Highly statistical and Analytical Exposure to Google Cloud Platform ( BigQuery, GCS, Datalab, Dataproc, Cloud ML (desirable) Spark & Hadoop experience Strong communication skills Good problem solving skills Qualifications Bachelor's degree or equivalent experience in a quantative field (Statistics, Mathematics, Computer … Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra more »

the expedition of their new product launch. They offer a fantastic progression plan and brilliant training. They are currently researching the benefits of AI & ML in the Finance sector and plan to start work commercially later in 2024. Could you be the one implementing AI in the Fintech space? You more »

scale impossible elsewhere Setting up the monitoring environment using modern technologies like OpenTelemetry Building production grade infrastructure platforms for containerization, deployment and monitoring of ML Models Working closely with other engineers A lot of scope for growth and future management! Skills And Experience Required Strong exposure to Python Knowledge of more »

in the Energy space. THE ROLE As a VP you will have the following responsibilities: Driving the strategic direction of innovating the Analytics and Machine Learning platform Supporting client delivery, actionable insights and recommendations to stakeholders Driving data governance and security best practices Helping scale and grow a more »

remainder of the week remotely if preferred. About the Company: Our client is dedicated to combating fraud and enhancing customer authentication using cutting-edge machine learning technology. Their innovative solutions provide real-time caller risk assessments, improving customer experience and preventing fraud. They partner with major organizations to more »

multi petabyte/exabyte data sets Working heavily in Rust Building/Optimising some of the world's most advanced data pipelines Collaborating with ML Engineers, Data Scientists etc. Working with other incredibly passionate technologists Skills: 5+ years experience working as a Software Engineer ideally using Rust Outstanding CompSci Fundamentals more »

You will: Lead the end-to-end deal cycle, leveraging machine-learning tools to drive efficient and effective growth funding solutions Structure deals and negotiate potential transactions Prepare investment reports and deliver presentations to investment committees Provide support to colleagues by leveraging past career experience and expertise in more »

transformation Additionally plus points: Experience with Agile, DevOps, and CICD frameworks in cloud-based environments. Despite being a developer, retains a genuine interest in ML Engineering and Data Science Closely collaborate with data scientists, product and engineers to innovate and refine the next ML initiatives Good knowledge in Python, SQL more »