101 to 125 of 641 Machine Learning Jobs in London

Biology What You Will Be Doing in the Company As a Member of Technical Staff, you will play a crucial role in scaling up ML models across GPUs and facilitating model inference via APIs. Joining an interdisciplinary team of machine learners, protein engineers, and biologists, you will collectively work … generative models to design new functional proteins for wet lab assays. You will be responsible for enabling and optimizing large-scale model training, building ML infrastructure for heterogeneous compute infrastructure, and assisting in optimizing model training. Additionally, you will work on enabling and optimizing model inference, exposing models via APIs … enabling large-scale model training, including experience in running training and inference on cloud hardware and distributing data across accelerators. Strong background as an ML engineer with a track record of notable contributions to machine learning projects. Extensive experience as a software engineer, including architecting and engineering software more »

key part of your role. What are the day-to-day tasks? Design and develop AI models and solutions using Azure Open AI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements … scientists, and IT teams to integrate AI solutions into existing systems and workflows, enhancing their capabilities and impact. Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing … with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure Open AI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. more »

as this position holds massive future potential for growth. Your role will involve: Developing our web application written in Javascript and NextJS; Implementing backend machine learning and data services, and integrating them with our web application. Suggesting and leading internal tools for our team to use that will … web applications Quantitative degree from a top university The following is DESIRABLE, not essential: Experience with Node.JS to a production level Familiarity with various machine learning APIs An understanding of machine learning techniques Benefits: Making a serious impact from day one. We're an agile company more »

unearth valuable insights and trends. Present findings and technical concepts clearly to both technical and non-technical stakeholders through intuitive visualizations. Construct and optimize machine learning models, including Natural Language Processing (NLP) and Large Language Models (LLMs), for various use cases. Engage and collaborate with senior stakeholders across … levels. Master’s degree in Data Science, Computer Science, Statistics, or a related field. Proven experience as a Data Scientist, adept at statistical modeling, machine learning, and data mining techniques. Familiarity with machine learning algorithms and frameworks such as scikit-learn and PyTorch. Experience with core more »

Learning projects! As a Data Scientist, you will be part of a small team of Data Scientists working on a range of ML projects, solving commercial challenges through a variety of Machine Learning techniques. Your responsibilities as a Data Scientist will include but not be limited … to: Solve operational challenges & problems through a variety of Machine Learning techniques. Create models and products to tackle significant business challenges. Generate new metrics, reports, and dashboards using historical data, real-time data, and predictive analytics to facilitate informed business decision-making. Gather data from diverse sources to … following: Min. 2 years commercial experience as a Data Scientist Strong experience building models Strong exposure solving operational and commercial challenges through Data Science & Machine Learning. Strong stakeholder management and communication skills Preferably background in operations/operational research and solving challenges in operations. Excellent use of python and more »

Key Responsibilities:Research and/or develop infrastructure to support state-of-the-art machine learning algorithms for solving critical elements of the network orchestration platform.Develop and maintain documentation related to novel algorithms developed by the team.Integrate AI technology with other components of the platform to ensure end … to-end functionality.Interact with potential and existing customers on a regular basis, serving as a technical communication expert for machine learning related technologies developed at Spacetime.Qualifications:Masters or PhD degree in computer science, mathematics, statistics, or other fields related to machine learning5+ years of work experience, with … at least 2 years working in the wireless communication and/or software defined networking space.Fluency in Python and at least one deep learning library (e.g. PyTorch, TensorFlow)Strong technical communication skills, and ability to communicate across multiple functions.A strong desire to pitch and sell our amazing technology more »

Machine Learning projects! As a Data Scientist, you will be working within a well-established of Data Scientists on a range of ML projects, solving commercial challenges through a variety of Machine Learning techniques. Your responsibilities as a Data Scientist will include but not be limited … to: Solve operational challenges & problems through a variety of Machine Learning techniques. Work within a small team of Data Scientists on commercially applicable Data Science projects. Leverage a breadth of operational Data Science techniques and models to deliver key projects for the Data Science team. Engage with business … Data Scientist will have the following: Min. 3 years commercial experience as a Data Scientist Exposure solving operational and commercial challenges through Data Science & Machine Learning. Preferably background in operations/operational research and solving challenges in operations. Minimum of BSc in STEM subject or Operational Research HOW TO more »

Machine Learning projects! As a Principal Data Scientist, you will be leading a small team of Data Scientists on a range of ML projects, solving commercial challenges through a variety of Machine Learning techniques. Your responsibilities as a Principal Data Scientist will include but not be … limited to: Solve operational challenges & problems through a variety of Machine Learning techniques. Lead a small team of Data Scientists on commercially applicable Data Science projects. Leverage a breadth of operational Data Science techniques and models to deliver key projects for the Data Science team. Mentor more junior … Scientist, including in a Senior or Lead position with mentorship/team leadership experience. Strong exposure solving operational and commercial challenges through Data Science & Machine Learning. Preferably background in operations/operational research and solving challenges in operations. Minimum of BSc in STEM subject or Operational Research HOW TO more »

Machine Learning projects! As a Principal Data Scientist, you will be leading a small team of Data Scientists on a range of ML projects, solving commercial challenges through a variety of Machine Learning techniques. Your responsibilities as a Principal Data Scientist will include but not be … limited to: Solve operational challenges & problems through a variety of Machine Learning techniques. Lead a small team of Data Scientists on commercially applicable Data Science projects. Leverage a breadth of operational Data Science techniques and models to deliver key projects for the Data Science team. Reviewing code and … with mentorship/team leadership experience. Background in core and fundamental Data Science practises Strong exposure solving operational and commercial challenges through Data Science & Machine Learning. Strong stakeholder management skills Preferably background in operations/operational research and solving challenges in operations. Minimum of BSc in STEM subject or more »

backed by 8VC, revenue-generating, and have multiple years of runway. Being part of our team means solving interesting problems at the intersection of machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. … The role Our stack cuts across many technologies (front-end, backend, edge-computing, machine learning), and you will be responsible for a large part of our edge-computing stack powering Coram Point. This involves: Building edge applications processing vision data and communication layers for the compute-constrained edge … deployed edge computers)/infrastructure management (we use Salt)/monitoring (we use Grafana)/video processing & streaming (we use Gstreamer)/experience interfacing ML models (we use PyTorch). High intrinsic motivation to succeed and ability to work hard. What we offer £ 80-120k base Company equity % in more »

Description Higgsfield AI democratizes marketing video creation using proprietary foundational video models. Role Description This is a full-time on-site role for a Machine Learning Researcher at Higgsfield AI in the London Area, United Kingdom. Your day-to-day tasks will include training … large-scale world models and bringing them to production. Qualifications Strong software engineering skills and proficient in Python Have experience working with multi-modal ML pipelines Strong problem-solving and analytical thinking abilities Excellent communication skills and ability to work in a team Have experience of large-scale training Experience … in conducting research and implementing machine learning algorithms Master's or Ph.D. degree in Computer Science, Statistics, or related field more »

out 5G networks across the UK, automating the mobile network roll-out, developing mobile 5G network applications, API development and data-driven Operations using machine learning and AI. This new role aims at BT’s mobile network strategy to achieve end-to-end digital transformation. This role reports … that enables our stakeholders to use DevOps tools for CICD, automation and Data to derive new insight and predict outcomes using AI, statistical and machine learning techniques.Take ownership and evolution of business support tools for efficient delivery and deployment of mobile networks to ensure e2e Asset Management and … network and service operations. Technical Domain Expertise: Significant expertise in service and network technologies and solutions, particularly the application of DevOps, CICD, Big Data, Machine Learning, operational research, and data science.Considerable hands-on (10+ years) experience in containerisation and automation stack (Kubernetes, Docker, Ansible), advanced analytics and AI more »

and Inclusion: We celebrate diverse perspectives and are committed to an inclusive environment where everyone thrives. About The Job Join us as a Senior Machine Learning Engineer (LLM) and play a pivotal role in shaping AI-driven design automation. You will: Lead the development of new generative AI … Computer Science or a related field, or possessing similar practical experience. A minimum of 4 years' experience in Python, with a strong foundation in machine learning principles. Proficient in modern AI frameworks and libraries, notably PyTorch and Hugging Face. Experienced with foundational Large Language Models (LLMs) APIs in … collaborative environment. It's an advantage if you are proficient in C++ or Julia for research and production purposes. Additional advantage for experience in ML Ops and deployment across various cloud platforms (AWS, GCP, Azure). Benefits Competitive Salary: Fair and attractive compensation 💼 Equity: Significant stake in a rapidly growing more »

for a highly prestigious organisation in London, UK. Offering fantastic career progression and the chance to work on cutting-edge projects to help accelerate Machine Learning and Natural Language Processing based innovation. Location: London – Hybrid working available - 2 days a week in office Salary … Python/C++/Software Engineer/Software Developer/Coder/Programmer/Analyst/Software Engineering/Software Development/Programming/machine-learning/artificial intelligence/nodeJS/JavaScript/innovation/graduate/Ph.D. post-doc/masters/computer science/engineering … and Development Programmer/Natural Language Processing Research Engineer/NLP Algorithm Development Specialist/Language Technology Research Scientist/Computational Linguistics Engineer/Machine Learning NLP Engineer/Artificial Intelligence Language Engineer/Text Analytics Researcher/NLP Software Development Engineer/Conversational AI Research Engineer/ more »

Graduate Software Engineer - Machine Learning - North London - £40,000 - £50,000 A rapidly expanding company specialising in business intelligence software based in North London are looking to bring on a Graduate Software Engineer. The company are looking at expanding into the Machine Learning and Artificial Intelligence … driven decisions. Requirements A degree in a relevant subject (ideally computer science) from a Russel Group or equivalent university A passion for AI or ML with personal projects, university projects or internships (Highly desirable) An Abundance of coding experience Apply now as interviews are currently being scheduled. Graduate Software Engineer … Machine Learning - North London more »

the FinTech space tackling issues around fraudulent activity, anti-money laundering measures, and customer authentication/identification. Significantly, the organisation has invested in an ML-driven solution to automate this process, allowing them to work at a significant scale. Despite the company's global client base and reach, you have … utilise cutting-edge LLMs within an NLP context. Responsibilities Helping to define and implement NLP-led projects within the core Product. Work with the ML Engineering team to help productionise and scale the algorithms. Mentor junior team members Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc. … Deep Learning & Machine Learning knowledge. Usage of LLMs in a commercial environment is a bonus. PyTorch experience a major bonus – other ML frameworks are also accepted. Docker & Kubernetes experience is a bonus. If this role interests you and you would like to find out more, please apply more »

descriptionSenior Data Scientist - 1x/month in London - up to GBP80kNFI08082023SF-7_1691513874Are you an enthusiastic Data Scientist who is looking to work with Machine Learning projects?My client are a … start-up software company who are looking to change all digital interactions. Due to growing, we are looking to hire a Data Scientist/ML Engineer with experience in Python,(Numpy/Scikit - learn), ML/Azure ML, SQL and ideally you would have a research and development background. Within … this role, you will work closely with Software Engineers, execute R&D programme to develop ML components through their platform, document your findings, advise the product engineering teams and characterise and optimise candidate technologies.Minimum qualifications required: * Strong experience with SQL/Python * Understanding of Machine Learning, Azure ML more »

one of the most innovative companies in the LegalTech space providing advanced and market-leading intelligence services. Significantly, the organisation has invested in an ML/NLP-driven solution to automate this process, allowing them to work at a significant scale. Despite the company's global client base and reach … utilise cutting-edge LLMs within an NLP context. Responsibilities Helping to define and implement NLP-led projects within the core Product. Work with the ML Engineering team to help productionise and scale the algorithms. Mentor junior team members Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc. … Deep Learning & Machine Learning knowledge. Usage of LLMs in a commercial environment is a bonus. PyTorch experience a major bonus – other ML frameworks are also accepted. Docker & Kubernetes experience is a bonus. If this role interests you and you would like to find out more, please apply more »

and sociable environment on a variety of projects. THE ROLE As a Data Scientist for the business you will: Work on a variety of machine learning projects end-to-end to create business value, focusing mainly on time series forecasting and propensity modelling Deploy machine learning … to the business with figures to support Time-series forecasting experience would be beneficial Experience working with geospatial data would be beneficial Experience deploying machine learning models Strong communication skills & stakeholder management experience Tech: Python, SQL SALARY AND BENEFITS Basic salary £60,000 - £70,000 Hybrid working more »

is both highly realistic and highly descriptive. Our approach to simulation brings together a combination of classical simulation techniques with cutting edge developments in machine learning to represent the real world in high fidelity at scale.You’ll be managing a multi disciplinary team and working closely with other … leaders from across robotics, machine learning development and data to ensure the quality and efficiency of the simulator and deliver an effective evaluation and development platform.Challenges you will own: Help define and drive simulation roadmap to deliver on company goals and prioritiesLead technical discussions and guide technical direction … and grow their careers.Good foundational coding knowledge and experience.DesirablePrior experience working with simulation platformsExperience building systems in Python and/or C++Solid understanding of machine learning fundamentalsWhat we offer you:The chance to be part of a truly mission driven organisation and an opportunity to shape the future more »

to join a fast-scaling FS firm in London? Your Role: As a Data Scientist, you will: Utilize your expertise in data science and machine learning to develop innovative solutions to complex problems Collaborate closely with cross-functional teams to identify opportunities and deliver impactful results Leverage Python … and other tools to analyze large datasets, build predictive models, and extract actionable insights Drive the design and implementation of machine learning algorithms, experimenting with different approaches to optimize performance Contribute to the continuous improvement of processes and methodologies, fostering a culture of innovation and excellence Skills Required … years of experience working as a Data Scientist in a professional setting. Experience in an investment firm Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Proficiency in Python and familiarity with relevant libraries more »

are looking for an MLOps Engineer to join their core team and establish themselves as a financial intelligence leader. RESPONSIBILITIES: Seeking opportunities to leverage machine learning models and AI solutions to meet development areas. Keeping up to date with the latest technologies, identifying areas of innovation Enhancing AI … Remote working Pension HOW TO APPLY: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, Data Scientist, AI Developer, Knowledge Graph, LLMS, Finance, Start-up more »

the Forensic Technology team you’ll receive training in a wide range of technical and non-technical skills. This can include data manipulation techniques, machine learning, big data technologies, programming and advanced data visualisation training and certifications. We’ll also encourage you to attend in-depth training led … on your individual development needs. Join us and you'll get to work alongside leading professionals in fields such as Big Data, Predictive Analytics, Machine Learning and Data Visualisation. You could be looking for hidden patterns within the global payments of a bank accused of money laundering, searching … successful candidates should be able to evidence experience in one or more of the following competency areas: Emerging technologies (e.g. Contract Lifecycle Management, RPA, Machine Learning, Blockchain). Data analysis (for example using SQL/Python). Data visualisation. Programming or scripting experience. When to apply Once you more »

disruptive software technology firm in London. Offering excellent training, career progression and prospects, this is a unique opportunity to work for a rapidly expanding machine learning software house. This is an ideal time to join this growing organisation and be guided by some of the brightest minds in … daily basis, you will be working closely with the sales team to deliver Proof of Concepts and assist with live customer projects for a machine-learning platform. Location: Central London– 3 days in office/2 days remote Salary: £30,000 – £32,000 + healthcare, pension etc. Requirements … industry-leading software company who have a fantastic track record of successfully hiring and training graduates An exciting opportunity to support projects on a machine-learning platform A good remuneration and benefits package Applications If you have top academics and would like to apply, we would love to more »

FIRE) Management Level Senior Associate Job Description & Summary Closing Date: 4pm 15 December Qualification: No ACA qualification is required for this role Location: London ML About the team & role In Deals we solve the important problems that stand in the way of value being created, sustained, realised or protected for … MiFID II regulation; significant technical knowledge of one or more wholesale banking asset classes; working with trade and order transactional data; tuning lexicons and machine learning models for false positive reduction. We have ambitious plans and are looking for individuals who can develop and build our data and … relationships both internally within the PwC network and externally with clients. Development of the technical architecture behind our surveillance offerings. Development of lexicon and machine learning model refinement methodology and procedures behind our surveillance offerings Essential skills and experience In order to be successful you will need to more »