1 to 25 of 148 Machine Learning Jobs in London with Remote Work Options

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 »

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 »

explaining them to others. If you've worked with big affiliate publishing platforms, know about AWS Cloud, or are familiar with data meshes and machine learning. The Company An established online and media company is creating products and content that engage with over 100 million people across their sector. 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 »

s leading financial organisations. The company is working with numerous aspects of pioneering technologies including cloud engineering (partnerships with AWS, Azure and GCP), AI, Machine Learning and blockchain. This is an exciting opportunity whereby you will have the opportunity to successfully deliver a number of neo banks. As more »

connectivity techniques to ensure that audience insights can then be fed directly into campaign targeting to drive efficiency and effectiveness. Activation Algorithms – algorithms leveraging machine learning to support the optimisation of campaign activation using a variety of contextual factors to automatically improve bidding and targeting selection to drive 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 »

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 »

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 »

market needs and oversee & grow our data product & solutions. Key responsibilities articulate the vision and strategy for new data products powered by Ai and ML evolving existing consumer household data solutions work with clients and external stakeholders to forsee market needs and match these appropriately with internal capability manage 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 »

Interim Chief Data Officer - AI/ML/C-Suite/VP experience - £1500 - £2500 per day Role: Interim Chief Data Officer Location: London - Onsite/Hybrid Rate: £1500 - £2000 per day with flex Experience Required: A blend of Data Engineering & Data Science experience required for this Interim Chief Data … Officer position with a focus around delivering BI, AI, ML projects at scale. Bonus points for a background/understanding of Gen AI or LLM background Role Profile: This Interim Chief Data Officer position is one that comes with a fair amount of sensitivity so the details below aren't more »

specific expertise in relation to the collection and use of data in online advertising and adtech, fraud prevention data, fan data, sports betting data, machine learning and artificial intelligence. More broadly, the team helps clients manage privacy, reduce development costs and maximise the potential of data, with a more »

AI/Machine Learning Engineer – 6 months - £600 p/d (Outside IR35) AI/Machine Learning (ML) Engineer, with strong chunking and indexing algorithm experience, required by a leading ecommerce company to set the direction for LLMs. The right candidate will have strong commercial experience … of improving LLM performance whilst being an expert in the utilisation of vast amounts of data. Key requirements Strong experience as an AI/ML Engineer Excellent commercial experience with LLM’s particularly Chat GPT and Llama Experience with data chunking and indexing for AI pipeline. Python skills Relevant degree … or post-graduate degree in AI, ML or related field Duration: Initial 6-month Rate: £600 p/d (Outside IR35) Location: London (hybrid more »

How to Apply: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Data Science, AI, Machine Learning, Computer Vision, SLAM, 3D 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 »

planning and delivering models and analysis that underpin the prices that go to market. You will need to understand both statistical modelling methods and machine learning techniques. Skills & experience needed: Solid knowledge of relevant statistical modelling methods – in particular GLMs Knowledge of relevant machine learning techniques more »

that all business activities are aligned within the context of the strategy framework. This will include monitoring and assessing new technology (such as AI, Machine Learning, and Automation) and other advances to drive efficiencies and innovation. The role will ensure a close relationship with the business to assist 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 »

classified. You will be surrounded by some of the smartest technologists in the UK and have access to the latest tooling and methodologies across machine learning, software engineering & cloud. What you'll bring with you: we are looking for intelligent, creative problem solvers with broad exposure to cloud … machine learning and software development. Experience with Python & AWS/Azure is a solid baseline. You will also be a pragmatist and ideally have a 'consultant' mentality. You will be interacting with end-users and clients on a regular basis. Working patterns: this is a hybrid role with more »

I am currently looking to support a start-up client that is looking to improve their current ML and take ownership of the prompting moving forward. Ideally they are looking for an ML engineer with extensive exprience in the following: - Prompting a ML Model - Extensive experience with LLM's The more »

Opportunity to work on emotionally intelligent AI avatars, transforming e-learning and customer experiences. Role: Computer Vision Engineer Location: London (Hybrid ) Salary: £80,000 (generous stock options) I'm hunting for innovative Computer Vision Engineers who are ready to reshape how humans and AI connect. What You'll Do … Develop High-Quality Code: Lead pipeline development, ensuring clean and efficient code. Build and Integrate Algorithms: Design and deploy custom computer vision algorithms. Drive ML Projects: Manage the full machine learning lifecycle for optimal performance. Collaborate and Improve: Participate in code reviews and team collaboration for continuous improvement. … Experience Requirements: Advanced degree (Master’s or PhD) in Computer Science, Engineering, or a related field. Over 3 years of experience in machine learning and computer vision, particularly with generative models. Strong Python skills and expertise in deep learning frameworks such as PyTorch. Familiarity with cloud tools more »

a Technical Lead profile to manage the MLOps unit within the Intelligent Systems Group. The unit is currently horizontal, it includes both Platform and Machine Learning engineers and it is responsible for supporting data scientists in deploying, maintaining and monitoring an increasing number of Python-based microservices, ETL … team and the emotional intelligence required to work with human capital are a must. Confident, but realistic, in their own skills and open to learning new approaches and solutions. Strong software engineering experience with Python. Experience working on production-level microservices (Docker/Kubernetes) and cloud infrastructure. Experience working … with Databases, Postgres, Redshift, Neo4j would be a plus. Skills Computer Science or Software Engineering degree/BSc or higher Experience leading a Machine Learning/MLOps team Low ego management style Strong Python coding experience Experience with the SQL querying language Experience working with Docker both in more »

field. Proficiency in handling behavioural data and modeling. 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 »