176 to 200 of 522 Machine Learning Jobs in London

in the CleanTech industry, is seeking a talented Senior Data Scientist to join their team. If you have a strong background in data analysis, machine learning, and time series forecasting, this is the perfect opportunity for you to make a lasting impact in the renewable energy space. Don … Skills: Proficient in Python 3 and popular data science tools such as pandas, scikit-learn, and more. Extensive experience in creating and fine-tuning machine learning models. Knowledge of time series forecasting and optimisation techniques for accurate predictions. Strong analytical skills combined with a true passion for research more »

demands and driving the development of new features. Your primary focus will be on our edge-computing stack, which includes building edge applications, deploying machine learning models, optimizing platform runtime, and enhancing observability and telemetry. Responsibilities Include: Developing edge applications for processing vision data and communication layers for … compute-constrained edge devices. Deploying machine learning models into production environments. Optimising platform runtime for maximum performance, predominantly in C++ with GPU utilization. Building observability and telemetry mechanisms. Requirements: Minimum 3+ years of experience in C++ development for production software. Proficiency in building applications processing real-time data …/CD pipelines. Preferred experience in one or more of the following: Edge/IoT computing Infrastructure management Monitoring Video processing & streaming Interfacing with ML models High intrinsic motivation, commitment to excellence, and a strong work ethic. Senior C++ Engineer | £90,000 - £120,000 | C++, Low Latency, Optimisation | London more »

Location: London, UK Open to: Hybird, Remote, On-site About us: Algo Capital is a leading global talent search firm focused on Quantitative Trading, Machine Learning, Trading and High Performing Computing Technologies. We build exceptional teams for top tier financial and tech first firms across the US, EMEA … Consultant to join our London-based technology team. Who you are: Proven track record in high-performing technical recruitment teams (quantitative trading, fintech, Crypto, Machine Learning, Technology) Agile and adaptive, showcasing confidence in navigating fast-paced trading and technology environments Extensive experience collaborating with diverse clients to build … candidates and clients Mentor and train junior recruitment consultants on industry-specific best practices Benefits: Competitive commission structure (£100-£300K OTE) Strong leadership training, learning development initiatives, and bespoke automated systems Employee-led communities, social clubs, and a collaborative culture where people thrive Low admin, allowing focus on high more »

s delivery of new voice experiences at the heart of music and podcast sessions users love. Provide servant leadership to ~10 applied research scientists, machine learning engineers, backend engineers, and data specialists. Cultivate a balanced, collaborative engineering culture and a diverse and inclusive team that reflects our customers … flexibility to work from home. We ask that you come into the London office at least 1 time per week. Our global benefits Extensive learning opportunities, through our dedicated team, GreenHouse. Flexible share incentives letting you choose how you share in our success. Global parental leave, six months off more »

focus on priorities, delivery standards and capabilities across the value chain to improve processing of data and enhance our ability to make use of ML/AI in decision making of our processes. Coordinate alignment across the business’s utilizing our single version of data truth which will power all … R Offer strong knowledge of AI, GenAI, NLP. Offer strong knowledge of Machine Learning and Deep Learning Offer good knowledge of ML Ops (Docker, Kubernetes, CI/CD. Qualified within own personal discipline, with extensive post-qualification work experience to include: Working with large third-party vendors more »

A funding to advance our work in digital avatars and human clones. Role: MLOps Engineer Location: London Salary: Up to £100,000 Responsibilities: Develop ML Pipelines: Build and maintain scalable data processing systems. Ensure data quality and integrity. Automate ML Processes: Integrate machine learning solutions into existing systems … and automate workflows. Deploy and Scale Models: Manage the deployment of ML models to production, ensuring scalability. Monitor and Optimize: Oversee model performance and conduct periodic tuning. Collaborate on Innovations: Work with cross-functional teams to improve model performance and implementation practices. Ensure Security: Adhere to security and compliance standards … in ML deployments. Requirements: Education: Bachelor’s or Master’s in Computer Science, Data Science, or related field. Experience: 2-3 years in ML, data engineering, or MLOps. Abilities: Strong analytical, problem-solving, and communication skills. Skills: Proficient in Python, ML frameworks like TensorFlow or PyTorch. Experienced with CI/ more »

/Eligibility required. Qualifications Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use … processing, and feature engineering Experience in designing and architecting solutions Experience in cloud computing, distributed systems, microservices, and APIs Experience around productionising AI/ML models Prompt engineering Lang Chain/Semantic Kernel Frameworks Experience exploring, analysing, and visualising data Excellent communication, collaboration, and problem-solving skills Additional Information Location more »

Scientist to join our growing teams and support a variety of customers: Detailed knowledge on a range of AI techniques (e.g. supervised and unsupervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.) Experience using Python, R more »

with quantitative analysts to understand, implement, and optimize mathematical models that drive trading strategies. • Experience with Machine Learning and Artificial Intelligence including ML and AI techniques to develop predictive models and enhance algorithmic strategies. Familiarity with libraries and frameworks like TensorFlow, PyTorch, or Scikit-Learn can be particularly more »

domains: ad fraud detection, risk control, quality control, business/ads integrity, and online advertising systems. Deep knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack Apply now for immediately consideration for this Software Engineer opportunity. Understanding more »

Learning Engineer - Contract - Outside IR35 Spinks have partnered with an early, stage VC-Backed Healthcare start-up who are seeking an experienced ML Engineer to join them on an initial 3 month basis as they build out their team. Skills we're looking for: Prior proven experience in … an ML Engineer role, especially using LLMs. Experience with Python, C# & Azure. Exposure to Vue.JS would be beneficial but non-essential. Exposure to working in early stage start-ups or the healthcare industry are also beneficial. The contract details: 3 Month initial engagement - potential extensions Fully remote (UK) - office is more »

ML/LLVM Compiler Engineer Exciting Blockchain Compiler Role/Remote working/Token equity on offer! An ML/LLVM Compiler Engineer is required to join an exciting ML powered Blockchain company specialising in all aspects of computer architecture relating to CPU's, GPU's and customer accelerators! My … learning algorithms, neural networks, and state-of-the-art deep learning techniques into modern blockchain grafts. What’s Required? For this ML/LLVM Compiler Engineer role, we’re interested in people from a variety of backgrounds, but your experience may include some of the following: Extensive … OR GCC Advanced C++ programming skills Understanding of Paralell Programming and Distrubuted Systems Added Bonus - Strong willingness to learn Rust If you’re a ML/LLVM Compiler Engineer looking for an exciting new challenge within a great company, then please apply today to learn more! To find out more more »

to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model more »

If you have in significant experience in ML software development and pipeline configuration, this is a rare opportunity to use your expertise to help shape the ongoing success of a science-based SME with a bright future. Collaborate strategically with colleagues to define and champion technical specifications, taking the lead … technical advances in digital nature data delivery & analysis. Support grant ideation, development & delivery. Oversee the maintenance of software development documentation & infrastructure on GCP for ML ABOUT YOU Strong background in ML software development & pipeline configuration. Good understanding of research & product development. Familiar with DataOps & MLOps. Able to deploy & test ML … models in production. Good understanding of the principled evaluation of ML models. Familiar with many different data sources and types Commercially astute. Excellent communication, planning and interpersonal skills. What Sets You Apart Software experience with Geospatial technologies Experience with Tensorflow & BigQuery. Comfortable building automated test infrastructure for ML models. WHAT more »

We are looking for a goal oriented and driven AI/ML Engineers with relevant experiences. Key Responsibilities: Neural Network Training : Develop and train advanced neural network models to meet specific functional requirements. Deployment and Integration : Efficiently deploy these neural networks on servers, ensuring optimal performance and scalability. API Development … models and the platform based on user feedback and evolving technological trends. Skills and Qualifications: Minimum 2 years of experience in building AI/ML software. Strong expertise in machine learning and neural network algorithms. Proficient in programming languages like Python, and frameworks such as TensorFlow or PyTorch. more »

THE ROLE If you have in significant experience in ML software development and pipeline configuration, this is a rare opportunity to use your expertise to help shape the ongoing success of a science-based SME with a bright future. Collaborate strategically with colleagues to define and champion technical specifications, taking … technical advances in digital nature data delivery & analysis. Support grant ideation, development & delivery. Oversee the maintenance of software development documentation & infrastructure on GCP for ML ABOUT YOU Strong background in ML software development & pipeline configuration. Good understanding of research & product development. Familiar with DataOps & MLOps. Able to deploy & test ML … models in production. Good understanding of the principled evaluation of ML models. Familiar with many different data sources and types Commercially astute. Excellent communication, planning and interpersonal skills. WHAT SETS YOU APART Software experience with Geospatial technologies Experience with Tensorflow & BigQuery. Comfortable building automated test infrastructure for ML models. WHAT more »

supported by a group of Data Engineers who are responsible for Data Pipelines. As a bonus - Data Engineers are also able to help with ML model deployment and MLOps. Responsibilities Design and implement Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. Data … new storage, enforce best practices Production: Help the preparation of the data science pipelines, interact with data scientists, re-shape code, support towards some ML Ops principles, make the ML platform easy for users Requirements An academic background in Statistics, Mathematics, or Computer Science (or similar) A number of years … CD experience Containerisation experience (Docker, Kubernetes, etc.) Good understanding of software best practises MongoDB (or NoSQL) experience Terraform experience Previous experience in managing the ML lifecycle with MLFlow Unfortunately sponsorship isn't provided for this role If you are interested please apply here or reach out to morgan.beck@xcede.com more »

will therefore operate closely with business and Datascience experts covering Business sectors including Energy & Utilities, Banking, Insurance, Healthcare, Defence, Technology, and others. AI technologies: Machine Learning, Time series, Natural Language Processing, Generative AI, Computer Vision, Operational Research, Engineering, Data Marketing, Data Analytics (For more information about our Data … on positioning in the market. Supporting the operational and Career Management of Data science consultants Coaching and mentoring colleagues’ performance and development. Facilitating own learning and specialist subject matter knowledge whilst supporting the team to further develop their technical knowledge and consulting skills within the practice. What skills and more »

organization. Policy and Standards Development: Design and implement guardrails, policies, standards, and best practices for AI development, ensuring ethical use and consistency. Fostering a Learning Culture: Encourage a culture of continuous learning and innovation around AI technology and engineering principles within the team. Project & Product Management: Ensure that … they are part of something bigger than themselves. Skills and qualifications Computer Science, Engineering, Mathematics, or related field of education. Expertise in AI and machine learning technologies with proficiency in Microsoft Azure offerings such as OpenAI. Strong programming skills in Python, R, C#, or similar, with experience in more »

Golang. Focusing on APIs, databases and asynchronous messaging. Your code will run on both pitch side and cloud servers. You will be exposed to machine learning techniques and algorithms for detecting and classifying complex sporting events in real-time, streaming data, networking and CI/CD. You’ll more »

architecture and making technical decisions. Some exposure to AWS (or other cloud platform) and best practices like EC2, S3, auto-scaling, security. Passion for learning and problem solving. At least one of the following: Working on an AI driven product. Used to working closely with data scientists or machine learning engineers, understanding some of the concepts and terminology. Experience contributing to data-dense products with complex, scaling architectural needs. Demonstrated passion for open-source software. Our ideal candidate will champion engineering excellence, open source, and delightful user experiences. We are looking for candidates with significant experience in more »

artificial intelligence principles and techniques Proficiency in programming languages commonly used in AI research, such as Python or TensorFlow Experience in developing and deploying machine learning models Familiarity with deep learning frameworks and methodologies Strong analytical and problem-solving skills Ability to thrive in a fast-paced more »

cloud-based data services, balancing performance and cost across storage and compute capabilities. Mentor and guide junior data engineers, fostering a culture of continuous learning and growth. Stay up-to-date with the latest data engineering technologies, tools, and best practices. Qualifications: Bachelor's degree in Computer Science, Engineering … Expertise in designing and optimizing SQL and NoSQL databases. Familiarity with stream processing technologies. Deep understanding of data architecture considerations. Experience deploying AI or machine learning models into production. If of interest, please send your CV now to apply more »

experience of Python (including TM1Py), Apliqo UX (Cubewise) and Azure Kubernetes is beneficial • broader experience of Apache Spark (Databricks), Business Intelligence (Power BI) and Machine Learning also beneficial • strong analytical, problem-solving and synthesizing skills (you know how to figure stuff out) • Able to produce secure and clean more »

and present findings and recommendations to senior management Work with data analytics colleagues across ICE exchanges to develop and integrate predictive analytics, artificial intelligence, machine learning and other new technologies in support of developing market and client analytics Develop requirements for ICE development and IT teams that may more »