101 to 125 of 829 Permanent Machine Learning Jobs in England

and Synapse. Solid knowledge of Data Governance, Data Catalog, and Master Data Management. Understanding of Advanced Analytics and Model Management, encompassing Azure Databricks, Azure ML/MLFlow, and deployment of models using Azure Kubernetes Service. Excellent oral and written communication skills. Please apply if of interest. more »

primary market research expertise Know the methodology for each analytic techniques and communicate data insights and findings from them Drive standardization and automation through ML-ops. Competencies: Degree in Engineering/Maths/Physics 5 years of experience with common marketing data science analyses, such as e.g. conjoints, max-diffs more »

are delighted to be working with one of the most forward thinking Private Equity firms in the space. The organisation are increasingly relying on ML and automation to make key business decisions about investment direction (multi-million pound decisions), and after successful rounds have increased their overall portion of portfolio … under the control of the ML function. The organic growth in workload has meant that the company need to hire another Data Scientist to join their established Data Science function. We don’t need someone to have already worked within the Private Equity space, but a clear interest in Investing … and strong statistical background (which has been utilised in a commercial setting for a few years) are necessary. Responsibilities Develop and deploy innovative ML & statistical models which will impact core investment decisions. Communicate ideas and findings to Investment team stakeholders. Use ML to explore financial Data and conduct wider research more »

MACHINE LEARNING ENGINEER £75,000 HYBRID - London COMPANY: We are looking for a Machine Learning Engineer to join a leading Marketing Consultancy. They are looking to grow to be an even bigger player within the … industry through Data scientists/Engineering and Machine Learning Ops' best practices. You will be working on Recommendation Systems and Deploying complex ML Models. ROLE: Apply Machine Learning Engineering project You will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow … with stakeholders. REQUIREMENTS: 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 »

Machine Learning Researcher We are partnered with a multi-billion hedge fund, with an active hiring mandate for ML Researchers. This opportunity involves architecting state-of-the-art ML solutions, generating novel algorithmic architecture and applying the latest deep learning techniques to quantitative trade research. Joining a … translating your ideas and coded models into trades. Responsibilities: Have access to large data sets and industry-leading computing tools to apply and build ML models from the ground up, utilizing new and established techniques and methods like neural networks, reinforcement learning, deep learning, and natural language processing. … field. Proven track record of peer-reviewed publications. Strong programming skills and experience working with Python and Pandas, Numpy, scikit-learn or other standard ML and deep learning libraries Familiar with commonly used machine learning algorithms and experience in using at least one deep learning framework. more »

Machine Learning Engineer (one day a week in the central London office) This role is a unique opportunity to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this company, you'll not only be part of a creative and open work culture … of Machine Learning Engineer will include: Develop and deploy machine learning algorithms using Python, addressing complex sports analytics problems. Integrate ML systems into existing infrastructure, leveraging cloud services, Docker and Kubernetes. Maintain and improve ML models, employing frameworks like PyTorch and TensorFlow. Follow Agile methodologies, ensuring … Engineer, your background will include: A minimum of fours years industry experience in machine learning. Familiarity with cloud computing, data pipelines, and distributed ML technologies. Strong programming skills in Python, and experience with ML frameworks. Knowledge in Agile methodologies, CI/CD tools (e.g., GitHub Actions, Jenkins). Please more »

MLOps Engineer into their team. This company are looking for an experienced MLOps Engineer to play a key role in optimizing and scaling our machine learning operations. The successful candidate will work closely with the data scientists, software engineers, and IT professionals to deploy, manage, and monitor machine … deployment. Implement monitoring and alerting systems to ensure the performance and reliability of deployed models. Optimize infrastructure and resources to support scalable and efficient ML operations. Stay current with industry trends and best practices in ML Ops and recommend improvements to existing processes. Provide technical support and troubleshooting for ML … related issues. Requirements: Bachelor’s degree in computer science, Engineering, or related field; advanced degree preferred. 2+ years’ experience in ML Ops, DevOps, or a related field. Solid understanding of machine learning concepts and techniques. Proficiency in programming languages such as Python, Java, or Scala. Experience with cloud 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 »

prediction targets and pertinent datasets. Conducting preliminary research to evaluate the feasibility and potential success of identified targets. Engineering and constructing sophisticated, production-ready machine learning algorithms integral to daily trading decisions and operations. Key Qualifications: Extensive expertise in implementing deep learning and advanced machine learning more »

Machine Learning Engineer (LLM) (Visit the London office x3 days a week) Xcede are delighted to be working with one of the world’s most prestigious research & publishing organisations. The organisation have been operating for over 25 years, conducting quantitative and qualitative research to help rank, highlight, and … of data types that the company have access to, from PDFs, Word Docs, Audio files, JSON, etc. Requirements Significant commercial experience building AI/ML tools (ideally within a few years of building LLM based applications). Strong understanding of ML fundamentals (including Supervised & Unsupervised algorithms) Significant NLP, LLM, and more »

We’re looking for a Senior Data Scientist who brings with them a wealth of experience in Data Science with a strong background in Machine Learning experience and Data Engineering. The client are working on a number of large projects that could easily take this position past the … me! Experience needed for this position (Please read carefully) Senior Data Scientist with over 5+ years of experience Python experience SQL experience AWS experience Machine Learning experience Predictive Modelling Clear and concise communication skills Senior Data Scientist Duration: 3-months Start: ASAP Day Rate: £550 Inside IR35 (FCSA more »

will vary dependant on experience. Key Responsibilities for this Senior Compute Library Engineer position: Developing high-performance kernels for use on NPU architectures by ML operators. Ensuring maximum efficiency and performance of existing kernels. Integrating kernels into NPU framework in collaborating with hardware and software teams. Conduct testing and debugging … in parallel programming in either CUDA or OpenCL. Strong software development skills (including strong skills in C/C++) and a basic understanding of ML frameworks. Strong expereince with SIMD is highly advantageous. Keywords: Compute Library/CL/Parallel Programming/CUDA/OpenCL/Microarchitecture/Micro-architecture …/Micro Architecture/Git/Jira/Machine Learning/ML/Tensorflow/Pytorch/C/C++/NPU/CPU/GPU/VPU If you are interested in this Senior Compute Library Engineer position, please send a copy of your CV to ts more »

approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects … manifest both on-premise or in cloud, often driving business intelligence and machine learning capabilities, helping customers achieve their Data as a Service ambitions. As a technical authority, you will interface directly with customers representing BJSS’ deep technical expertise. You will lead delivery teams by example, providing the more »

field. Proficient in handling behavioural data and modelling. Prior experience in the Health/Pharma industry or domain expertise. Expertise in developing and deploying machine learning models. Proficiency in programming languages such as Python or R. Strong communication skills, capable of effectively communicating technical concepts to diverse audiences. 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 »

faster than anyone else. • The role will require and involve the use of standard, as well as advanced analytics techniques, including the use of machine learning model development, to support commercial objectives and optimise customer experiences. • Through your team, you will drive the advanced analytics agenda, being transformational … sectors and industries, in addition to also having very strong experience of financial services products • Comprehensive understanding of creating and deploying analytical outputs e.g., ML models and Data Assets • Understanding of best-in-class visualisation tools and how these can be best leverage to derive insights • Experience of building and … on a vision with forward planning to achieve results • Technical knowledge of big data platforms (e.g., Hadoop and Hive) as well as knowledge of ML, Data science and advanced modelling techniques, technologies, and programming languages • Possess a high degree of self-motivation, the ability to drive for results, and track more »

troubleshooting, problem-solving software bugs, and crafting efficient, reusable, and reliable C# code. The successful individual will collaborate closely with colleagues across AI/ML, app development, and hardware development domains to craft and deploy innovative solutions that delight customers. A commitment to collaborative problem-solving and delivering a quality 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 »

Are you skilled in computer vision and machine learning? My client is seeking a motivated individual to join their innovative team, focusing on developing advanced models to address significant challenges in a specialized field. Key responsibilities: Develop and enhance models using a vast labelled dataset. Implement and refine more »

within large enterprises. Our goal is to drive innovation through AI, positively disrupting companies and industries. Therefore, aligning the practical implementation of AI and ML with an enterprise’s real-world objectives and strategies is critical. Success for us is defined by measurable business performance improvements. This role involves close … their expertise in data science. Requirements Experience in Professional Services Consulting, selling and delivering transformational outcomes to enterprise organizations. Exceptional domain knowledge in AI, ML, and data science, with the ability to understand the mechanics and promote the possibilities to non-experts. A technology-focused individual with a commercial mindset … thinking. Highly collaborative, reliable, and trusted for expertise in guiding through complex problems. Solid grounding in enterprise technology, especially in how Data, AI, and ML can transform organizations. Extensive experience in organizational growth, development, and transformation, preferably in a fast-moving tech company. Past or current experience in delivery leadership more »

are looking for a Lead Machine Learning Engineer to join their team, working a part of the Data Science team to integrate ML technologies into internal business processes. Responsibilities: Lead the design, development, and deployment of ML models and pipelines, in close collaboration with Data Scientists, ML Engineers … Drive the adoption of best practices in code quality, design, scalability, and maintainability. Mentor and upskill members off the team. Maintain and enhance existing ML models, ensuring all models are deployed in production are monitored. Stay updated with the latest developments in ML/AI, and related fields to keep … Requirements: BSc or MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Good knowledge of ML/AI state-of-the-art, principles, practical applications and limitations Technical leadership, strong communication skills, mentoring experience How to Apply: Please register your interest more »

The Role: The successful candidate will work on all aspects of our client's data architecture, collection, pipelining, governance, and security. This extends to machine learning deployments, financial benchmark production, and internal auditing of data quality and integrity. The Tech: Python: Strong proficiency, including experience with libraries like more »

overall business goals. You must have experience building Data strategy including integrating AI into overall business strategy. Past experience developing and deploying AI solutions, ML models and NLP. Strong technical skills across cloud platforms and visualisation tools (Azure, Synapse and Power BI) etc Beneficial to have experience working in the more »

The Computing Division at UKAEA conducts research and development across diverse areas such as cloud computing, high performance computing, algorithm development, artificial intelligence, and machine learning. Our focus is on optimisingresearch workflows and advancing computing infrastructures for fusion reactor engineering. We collaborate with academia and industry on novel computing more »

driven Invesment Management firm that are currently looking to add talented Frontend Developers to a critical team that is responsible for building and maintaining machine learning frameworks, data science tools, microservices and various other data driven applications to support it's various trading strategies. This is an excellent more »