1 to 25 of 132 Machine Learning Jobs in London with Remote Work Options

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 »

Data Scientist A leading Tech & Data company are looking for a Data Scientist with strong AI/ML experience to develop new applications of data science and AI across the business. You will enhance customer propositions using a variety of machine learning methods. This is a permanent role … a data science framework/solution (e.g. with Marketing, Product, UX/CX) Manage the scoping and delivery of data science projects Partner with ML Engineers to ensure that all models are put into production and deliver clear impact to the business Communicate technical outputs and results to non-technical … Experience required: A passion and motivation for using Data Science to solve real world customer problems Demonstratable experience in end-to-end AI/machine learning model development Proficiency in Python & SQL Outcome focused more »

. Robotic Operating System: Experience with ROS 2. . Version Control: Proficient in using GitLab for source code management and CI/CD. . Machine Learning Frameworks: Strong experience with Pytorch. . Data Annotation and Management: Experience with Roboflow or similar tools. . Problem Solving: Excellent analytical and 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 … Apply: Please register your interest by sending your CV to Luc Simpson-Kent via the Apply link on this page. Desired Skills and Experience ML Engineer, Python, Machine Learning more »

key stakeholders across the organisation and be instrumental in cross-team priorities and management. The most successful candidates for this role will be experienced ML engineers who have recently transitioned to leading ML engineer ICs, and delivering complex ML engineering solutions. This role is perfect for a leader who is … a mentor, coach and a role model in our organisation. You Will: Be a people leader of a small (approx 4-6) team of ML and data engineers .Also be hands-on as needed coding, ML model design, system design, data modelling, code pairing, PR reviews, writing TDDs (technical design … technical roadmap for your team in line with the product roadmap. Provide engineering/technical leadership on Knowledge Enrichment projects that seek to use ML to enrich the data in BenchSci’s Knowledge Graph. Work closely with other engineering leaders to ensure alignment on technical solutioning. Liaise closely with stakeholders more »

contribute fully to our purpose. Reporting to the VP of Research, you’ll have the opportunity to work with state-of-the-art Deep Learning technology to develop creative solutions to exciting, challenging and industry-defined problems. How you’ll make an impact: Take ownership of research areas in … computer vision, machine learning and biometrics with high degree of autonomy tackling new, as yet, unsolved industry problems Work with our developers to see the products of the research turned into production code Collaborate with the research team on best solutions Communicate research outcomes across the company Contribute … broader research strategy of the company Challenge the status quo of the existing solutions You will work with a diverse team of AI and machine vision specialists, applying state-of-the-art Machine Learning and Deep Learning techniques to develop original solutions to world wide problems. 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 »

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 »

Learning (Geometry) Engineer at Autodesk Research, you will be working side-by-side with world-class researchers and engineers to build new ML-powered product features to help our customers imagine, design, and make a better world. You are an ML software engineer who is passionate about solving … problems and building things. You have experience building ML models involving geometric processing. You are excited to collaborate with AI researchers to build state-of-the-art generative AI features in Autodesk products. You are comfortable working at the intersection of research & product. Location: UK You will report to: Senior … to understand Analyse errors and provide solutions to problems that arise Present the results of your work to collaborators and leadership Geometric data processing ML model training and deployment Minimum Qualifications BSc or MSc in Computer Science, or equivalent industry experience Experience with software version control, unit tests, and deployment 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 »

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 »

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 »

applications for performance, scalability, and security. Participate in code reviews, providing constructive feedback to team members. Mentor junior developers, fostering a culture of continuous learning and improvement. Stay up-to-date with the latest industry trends and technologies to ensure our solutions remain competitive. Qualifications: Bachelor's or Master … oriented environment. Preferred Qualifications: Experience with Agile/Scrum methodologies. Familiarity with DevOps practices and CI/CD pipelines. Knowledge of data science and machine learning concepts. Experience with other cloud platforms and technologies. What We Offer: Salary between £100-110k Competitive bonus Competitive pension Enhanced private more »

Proven experience as a CTO, technical co-founder, or similar leadership role in a startup or fast-paced environment. Proven experience in Python and machine learning. Deep expertise in AI technologies, including machine learning, natural language processing, computer vision, and data analytics. Strong background in software development more »

causaLens is the pioneer of Causal AI — a giant leap in machine intelligence. We are on a mission to build truly intelligent machines, machines that truly understand cause and effect— it’s hard but super fun! If you want to build the future and are looking for a place … a plus Experience in supply chain, demand forecasting, retail/cpg, manufacturing, marketing, financial services, or public sector is a plus About causaLens Current machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the 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 »

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 »

Skills and Experience – Nice to Haves · Experience in site reliability engineering · Experience with event-driven systems · Experience in building web services on AI/ML models Please send your CV to chris.shephard@areti.io or DM me for more information on the role. There is a quick 2 stage interview process 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 »

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 »

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 »

Innovation Product Owner/Product Manager (Data) - Tech Scale Up - London Join the forefront of data innovation! Our client, a leading figure in the realm of data, is on the hunt for a dynamic Product Manager/Product Owner with 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 »

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 »