151 to 175 of 622 Machine Learning Jobs in London

work will have a very direct, measurable impact on achieving those goals.Senior Data Scientist – Spiking Neural NetworksJob responsibilities:Apply your existing knowledge of SNNs, machine vision and image analysis techniques to the development of a novel SNN engine based on our research outputs. You may also be asked to … work on projects that make use of CNNs and Transformer networks.Enhance machine learning software with the latest in machine learning algorithms.Work with other team members tasked with the development of a system for automating the production of synthetic training images derived from digital 3D virtual reality … work into practice.Contribute to the development of systems that will be core components of our machine vision, image analysis and other AI/ML products.Support the work of other data scientists and developers in the team.Work with research colleagues and offer technical support to colleagues in commercial roles 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 »

frameworks essential to the expansive quant trading operations. This presents an exciting opportunity for a Software Engineer to collaborate closely with Data Scientists and ML researchers in architecting, designing, and building the organisation's evolving ML infrastructure. The ideal candidate for this role should possess over 5 years of experience … as a backend Software Engineer, with a solid background in Python and Kubernetes with expertise in deploying ML models. Responsibilities: Design, build, and maintain multiple backend applications and frameworks crucial for quants and traders. Contribute to future plans and roadmaps, emphasising the development of flexible, scalable, and well-designed systems. … Collaborate closely with Data Scientists, ML researchers, and fellow developers to architect, design, construct, and maintain the constantly evolving ML infrastructure. Requirements: Over 5 years of experience as a backend Software Engineer. Strong desire for Machine Learning Infrastructure experience or prior involvement in the field. Proficiency in Python. more »

modeling disciplines; analyzing and presenting data insights and code, communicating effectively with technical developers and non-technical marketing business partners, teammates and leadership; implementing machine learning algorithms, working end-to-end on machine learning pipelines in production; data engineering working on ETL pipelines, crawling APIs and more »

We're a fast growing AI consultancy, working on a broad range of projects that include: computer vision (detection, segmentation, generation) reinforcement learning time series prediction simulations (continuous and event-based) optimization For more concrete examples see our portfolio on https://dotsquarelab.com We are working from … an office based in Camden, with flexibility for working from home. Eligibility to work in the UK is required. Responsibilities research and develop novel ML architectures implement algorithms according to the high-level specifications monitor deployments set up, track experiments and provide a high-level summary to the research team … Qualifications Must have: MSc or PhD in ML or Computer Science good Python coding skills extensive knowledge of machine learning techniques (at least 1 from the list above) working knowledge of Linux systems Good to have: familiarity with cloud platforms (GCP or AWS) familiarity with web development (Fast 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.Computer Science or Software Engineering degree/BSc or higherExperience leading a Machine Learning/MLOps teamLow ego management styleStrong Python coding experience Experience with the SQL querying languageExperience working with Docker both in development and deployment environmentsExperience reading/ more »

up uses AI at the core of the business. They are looking to continue expanding their AI team by hiring an AI Engineer/Machine Learning Engineer focusing on building and deploying machine learning models, specifically working in the LLM's space.THE ROLEAs an AI Engineer more »

organization. We complement conventional engineering approaches to solving problems, by leveraging subject matter expertise and domain knowledge alongside simulation-driven design, data science and machine learning.Our mission is to make energy affordable and accessible to everyone - enabled by providing our clients with 5 key capabilities:1. Digital Advisory services … .· Proficient scripting in programming languages such as Java, Python, Scala· Expert in SQLMachine Learning· Good basic understanding of the main types of ML model with particular reference to the required data structures, formats and hygiene.· Au fair with how current machine learning tools and platforms (Python … IBM, Knime, Github, R, Spark, Weka, Amazon ML, Azure ML etc) integrate as part of the analytical ecosystem· Experience with the tools used to validate, monitor and deploy ML models (Tensorflow, ML Flow, AWS Studio, Docker, Kubernetes etc).Applied Analysis and Insight· Understand enterprise-wide business-processes, IT systems and more »

for successContribute to KPIs and metrics of the team, systems and tooling they provide currently. Intentionally invest in improvements that move the needle on ML engineers’ productivity.Provide technical guidance where needed and rely on senior engineers on the team where necessary to make the decisions that drive the team and … aspects of the model development lifecycle.Aligning with customers, and other stakeholders in addition to roadmapping and strategy.Creating a dev and training platform where all ML engineers will train their models on. Interacting with Azure, cost tracking and optimizations to not only save the company money but also get the performance …/or MLOps experienceDesirableExperience working in a project-based (“matrix”) operating environmentBachelors in Computer Science, Engineering, or similar experience (e.g STEM)Strong knowledge of Machine Learning and/or Cloud Infrastructure areas, such as Deep Learning, Natural Language Processing, Computer Vision,or Kubernetes, Azure/GCP/ more »

opportunity for someone to enhance their I&D Consulting career. What will you be doing Design and implement robust conversational AI models using AWS ML services including Amazon Lex and Amazon Comprehend Develop and refine custom NLP models to enhance understanding generation and translation of human language in a variety … XML IVRs Jenkins other Cloud Platforms Skills that will help you in the role Some experience in applying a wide range of statistical and machine learning techniques e g hypothesis testing regression clustering decision trees machine learning models Experience of data driven storytelling Proven ability to … explain data analysis insights and capabilities to audiences with differing technical backgrounds Concepts of Deep Learning Knowledge of Devops Jenkins Kubernetes SonarQube Veracode CheckMarx Maven Gradle etc Knowledge of tools like JIRA Agile Central Service First etc About Capgemini Capgemini is a global business and technology transformation partner, helping more »

Senior Data Scientist - Hybrid (2 day p/w) - London - Permanent NLP/LLM, Python (Pandas, PyTorch), Machine Learning, Research, Marketing £70,000-£90,000 salary ***Please note this role does not offer sponsorship, and you must be based in London to apply*** An exciting AI content platform … a commercial setting too! Essentials: 5+ years experience as a Data Scientist Proven expertise with deep learning , NLP , and LLMs Expert ability with ML/MLOps Experience mentoring/up-skilling more junior team members. Strengths in SQL , Python ( Pandas , Scikit - Learn , PyTorch ) PhD -level education and experience within … below and I'll be in touch! Senior Data Scientist - Hybrid (2 day p/w) - London - Permanent NLP/LLM, Python (Pandas, PyTorch), Machine Learning, Research, Marketing £70,000-£90,000 salary more »

Develop the Linux runtime for Fractile’s innovative AI acceleration hardware Implement highly-optimised accelerator firmware Work with hardware and higher-level software and ML engineers in a highly collaborative hardware-software co-design methodology You have: Proven experience of the development of Linux device drivers A good understanding of … Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience You may also have: Experience of working with GPUs or dedicated machine learning accelerators Knowledge of contemporary machine learning techniques and technologies Previous experience in a startup or small team environment more »

AI Lead Engineer - LLM, Machine Learning London based contract, hybrid working - AI/LLM Lead Engineer/Architectspecialise in AI applications and Large Language Models AI Lead Engineer/Architect Artificial Intelligence/Machine Learning experts with LLM, NLP Experience: Advise on LLM SW Engineering principals more »

and Insights: Direct the design and implementation of sophisticated analytics models to enhance understanding of pricing responses, customer behaviours, and business dynamics. Utilize advanced machine learning and statistical techniques to forecast trends and enhance operational efficiencies. Provide actionable insights and strategic recommendations to senior stakeholders based on rigorous … client engagement Extensive experience in advanced analytics and data science, preferably in a commercial or consulting environment. Proficiency in Python programming and experience developing ML or statistical models related to pricing. Strong familiarity with data visualization software (e.g., Tableau, PowerBI) and data management tools (e.g., SQL, Snowflake). Bonus Points … for: Experience implementing Machine Learning models and familiarity with large language models. Knowledge of cloud-based solutions on major providers (Azure, GCP, AWS). Familiarity with collaborative software tools such as Git and Jira. Proficiency in user interface applications like React and JavaScript. Domain expertise in pricing, demand more »

role requires a mix of technical skills, legal industry knowledge, and project management. Core Responsibilities Innovation: Develop and deploy legal tech solutions using AI, machine learning, and data analytics to improve efficiency and service quality. Data Strategy: Collaborate with data governance and security teams to create a comprehensive … Experience Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. Experience: Proven experience in data science, AI, or machine learning, preferably in a law firm or regulated environment. Industry Knowledge: Understanding of the legal industry is a plus. Technical Skills: Proficient in more »

develop the Linux runtime for Fractile’s innovative AI acceleration hardware Develop highly-optimised accelerator firmware Work with hardware and higher-level software and ML engineers in a highly collaborative hardware-software co-design methodology Support and develop more junior colleagues You have: Strong experience of the development of Linux … Electronic Engineering, Maths, Physics, or related degree and 7+ years of industry experience You may also have: Experience of working with GPUs or dedicated machine learning accelerators Knowledge of contemporary machine learning techniques and technologies Previous experience in a startup or small team environment more »

synapse, Databricks, SQL, Python and DataOps. This is a fantastic opportunity for a Data Engineer to gain exposure to different business areas from Visualisation, Machine Learning/AI and governance. Alongside this my client is going to be going through a cloud migration to Azure. Responsibilities : Collaborate with … implement data integration and ETL/ELT processes. Optimise and tune data storage and retrieval processes. Collaborate with the Data Science team to implement machine learning algorithms and AI models. Ensure data quality and integrity throughout the data lifecycle. Monitor and troubleshoot data pipelines to ensure optimal performance. more »

services Experience with Python, Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track … record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team members If this sounds like an interesting position click apply now! Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual more »

AWS accounts and infrastructure to host our systems for LLM-inference, including advanced RAG. To this end you will collaborate tightly with Data Scientists, Machine Learning, Big Data, and Software Engineers in a Scrum environment. You can support streamlining deployment and establish best practices in infrastructure management for … of newly created AWS accounts Enable two teams in our business by managing LLM-Operations Communicate effectively with team members and stakeholders, explaining complex machine learning concepts in a clear and concise manner. Your skills and qualifications: 5+ years of experience in DevOps, Cloud Operations, Data Engineering, or more »

into extensive and intricate datasets to gain comprehensive insights Extract, interpret, and communicate findings effectively with the team Develop predictive models using statistical and machine learning methods Validate and refine models for accuracy and applicability Stay updated on industry trends and advances in data science Requirements: Essential … record Exceptional problem-solving and analytical abilities Proficiency in Python, particularly with the pandas library Strong communication and collaboration skills A proactive attitude towards learning and development Desirable: Experience with SQL for data manipulation Familiarity with time series modeling and forecasting Exposure to Cloud Environments like GCP or AWS … Knowledge of Bash, Unix, and version control systems like Git Understanding of Object-Oriented Programming principles About Us: Our client, founded by experts in machine learning and industry veterans, is dedicated to unlocking the value of data and technology. We specialize in applying cutting-edge research to solve 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 »

across all company functions, enhancing our ability to make informed decisions quickly and effectively.You'll also play a critical role in integrating AI and machine learning models into our services, working closely with product teams to improve customer experiences and operational efficiencies. Your oversight will extend to the … significant portion in leadership positions. Prior experience in the banking or financial services sector is highly desirable.Technical Proficiency: Advanced knowledge of data analytics frameworks, machine learning, AI integration, and the ability to design scalable data infrastructures and architectures.Regulatory Knowledge: Comprehensive understanding of and experience with data protection regulations … employee contribution and a 3% employer top-up.Learning and development: After 1 year of service, you'll have access to 500 from the Kroo Learning Fund to invest in your career development.Top-notch equipment: We provide top-of-the-line equipment necessary for smooth hybrid work, including a MacBook more »

development of best practices and standards for data engineering within the organization. · Developing and implementing data models and algorithms to support data science and machine learning initiatives. TECHNICAL REQUIREMENTS · Proven track record leading complex ETL and Data Infrastructure projects, as well as designing and building data intensive applications … of data structures and algorithms · Familiarity with Unix systems, common command line tools e.g., grep, awk and source control tools e.g., git · Familiarity with Machine Learning and Statistics a plus · Excellent problem-solving and analytical skills. · Experience working in an Agile development environment. Our Amazing Benefits · Hybrid/… Healthcare for you - talk to us about adding your family · Discounts on various retail stores, gyms memberships and a bike scheme · Access to LinkedIn Learning · Peer to peer recognition...and much, much more! About Us · 4.8 rating on Glassdoor! · Excellent employee retention · We have a culture deeply engaged in Diversity more »

multi-instance clusters for data and model parallel training across GPUs/TPUs, preferably using PyTorch and Kubernetes. Proficiency in efficient serving of large machine learning models at scale, including quantisation and distributed computing. Other: Experience at a leading machine learning company. Interested in the impacts … screen) you will be asked to answer at least one of the below questions: Describe your experience in creating/managing HPC clusters for ML models. What tools did you use? Describe how you have efficiently served large ML models at scale. Highlight any specific techniques or libraries used. Please more »

major cloud platforms (AWS, Azure, or Google Cloud) Extensive experience on work and projects around Large Language Models (LLM) Deep understanding of data science, machine learning algorithms and statistical principles Excellent communication and leadership skills, capable of managing teams and interfacing effectively with clients at all levels Experience … AI landscape A bachelors degree in computer science, AI, Data Science or a related field is required Nice to have: Certifications in AI or machine learning technologies Prior experience in consulting or client-facing roles Familiarity with the regulatory and ethical considerations in deploying AI solutions in various more »