26 to 50 of 829 Permanent Machine Learning Jobs in England

The Machine Learning Engineer will help develop/deploy AI-powered products as we embark on a journey to build a new AI-powered sales advisor. This is a mid level role, requiring at least 2-3 years of experience in relevant roles, and an academic background in … business requirements and the type of attention to detail that ensures thoroughness in product deployments. Responsibilities and expertise will be in the field of ML and AI model deployment, monitoring, integration across the tech stack and making best use of data-focussed compute resources. Diversity is incredibly important to us. … maintaining our machine learning stack Monitoring and analysing deployed models for performance and costs Making effective use of cloud infrastructure in our ML stack Skills and experience Familiar with the Python-based data science tech stack Python Docker & Kubernetes AWS Cloud Deep learning frameworks - Pytorch and Tensorflow more »

from sub-second latency functions to longer-running batch computer and higher-demand dedicated instances. Their models are a mixture of well-known classical ML systems and highly bespoke deep learning models. They run on AWS and soon Azure, with plans to also add GCP and on-prem. They … Temporal; AWS Athena SQL, Athena & EMR Spark, ECS Fargate; Azure Synapse/Data Lake Analytics, HDInsight. KEY RESPONSIBILITIES Lead the productionisation of Monolith’s ML models and data processing pipelines, both mid-low-level system and design and exemplary hands-on implementations using Spark and other tech stacks Shape the … ML engineering culture and practices around model & data versioning, scalability, model benchmarking, ML-specific branching & release strategy Concisely break down complex high-level ML requirements into smaller deliverables (epic à task) Proactively identify blockers across the team, help promptly and effectively to unblock them Bring seniority and pragmatism to every more »

practices including Diversity and Inclusion. Role : Machine Learning engineer Key Responsibilities Work with our customers and focus on our AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon Sagemaker and more. Help our customers to remove the constraints that … Kinesis/Kafka/Spark/Storm implementations Experience with analytic solutions applied to the Marketing or Risk needs of enterprises Basic understanding of machine learning fundamentals Ability to take Machine Learning models and implement them as part of data pipeline IT platform implementation experience Experience … environments Proficiency with at least one the languages such as C++, Java, Scala or Python Experience with at least one of the modern distributed Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, MxNet Caffe, and Keras Experience building large-scale machine-learning infrastructure more »

My client are looking for Machine Learning driven quant researchers who either have industry experience (Tech/Finance) or are coming straight from a PhD to be based in London, or Switzerland. Key Responsibilities: Develop and implement machine learning models to analyze and predict market trends. … researchers to integrate models into trading strategies. Optimize existing models and algorithms to improve performance and accuracy. Stay updated with the latest advancements in machine learning and financial research. Present research findings to team members and contribute to strategy development. Requirements: PhD in Machine Learning, Computer … Science, Statistics, Mathematics, or a related field with a focus on machine learning. Proven experience in applying machine learning techniques to real-world problems, preferably in a financial context. Strong programming skills in Python, R, or similar languages. Solid understanding of statistical methods and quantitative research methodologies. more »

to this mission. As a Senior Data Scientist you will take a leading role in researching, building, deploying and monitoring machine learning (ML) models, in close collaboration with cross-functional teams. Your efforts will support our clients through enhanced decision-making and automation, utilising our developing cloud-based … great. Circa 5+ years of serious commercial experience working on a range of complex problems, across varied data types and machine learning (ML)/artificial intelligence (AI) approaches*, with multiple live solution deployments. Proven ability to successfully tackle a broad swathe of our interesting problems catalogue. Of course … code and notebook documentation. Experience of working in a Cloud environment (we use AWS to run an EMR based platform), including experience of scaling ML solutions using Spark. Experience across common supervised, unsupervised, semi-supervised, reinforcement machine learning techniques What technical skills are required Accomplished Python coder. Data 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 »

Infrastructure Engineer - ML & GPGPU Deployment Within this position you will be joining a Leading AI Innovation Team as an Infrastructure Engineer improving their generative AI products with automated testing and evaluation. We are working with a London-based start-up dedicated to engineering cutting-edge AI systems poised to revolutionize … industries worldwide. As a Machine Learning Infrastructure Engineer, you will play a crucial role in developing a robust framework for rapid training and experimentation of large language models. Your responsibilities will include architecting an internal platform to facilitate high-throughput inference of these models. You will develop the … support. Candidates should possess a minimum of 2-3 years of professional experience in a similar capacity. Qualifications: We are seeking candidates with exceptional ML engineering evidenced by: Experience in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch. Proficiency in efficient serving of large more »

technology and data-driven solutions. They’re seeking a seasoned Senior MLOps Engineer to join our dynamic team and drive the evolution of our machine learning operations. As a Senior MLOps Engineer, you will play a critical role in designing, implementing, and optimizing the MLOps infrastructure to support … the deployment and management of machine learning models at scale. This is an exciting opportunity to lead MLOps initiatives that will shape the future of insurance technology. Responsibilities: Lead the design and implementation of MLOps infrastructure and processes to support the end-to-end lifecycle of … machine learning models. Develop automated pipelines for model training, testing, deployment, and monitoring. Establish best practices for versioning, reproducibility, and scalability in ML workflows. Collaborate with cross-functional teams to integrate ML models into production systems. Implement robust monitoring and alerting mechanisms to track model performance and health. more »

I am looking for a Machine Learning Engineer to join a small Start Up based in London. My client is based in Central London and work collaboratively in the office, so on site work is a must. Salary is dependant on experience and in the region of … 50k, with the opportunity to grow professionally with a highly motivated start up. My client work in EnergyTech and are using AI/ML algorithms for data analysis, which has already led them to become an industry revenue business within 4 years of establishment. You will be responsible for the … research and development of machine learning algorithms optimisation, design and implement pre-processing pipelines for large data, create visualisation and reports for model performance, whilst collaborating with various engineers to improve knowledge and spark innovation. As the Machine Learning Engineer you will ideally have a degree 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 »

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 »

Machine Learning Engineer Up to £75 000 London Company: This company is a global creative consultancy that partners with huge companies such as Mastercard, SAMSUNG, Mercedes, and Virgin Media! They are looking for a Senior Data Scientist to join their team, who has a great generalist background to … work on a variety of exciting projects as a senior member of the team. Responsibilities: Build machine learning models utilising CI/CD pipelines, MLFlow, Kafka, and Kubernetes. Developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. Working with a team of highly skilled Data Engineers …/CD. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, CI/DC, MLFlow, Kafka, Kubernetes, Consulting, Constancy 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 »

accuracy. Stay up to date with the latest AI technologies and techniques, driving continuous innovation. REQUIREMENTS: Strong software engineering skills, with a focus on machine learning and AI. Experience deploying foundational Language Models (SLM/LLMs) in production environments. Proficiency in deploying machine learning solutions at … search, retrieval, and reranking. Ability to collaborate with various stakeholders, including backend engineers, front-end engineers, and product designers. Additional advantage for experience in ML Ops and deployment across cloud platforms (AWS, GCP, Azure). Practical experience with machine learning techniques for search and retrieval, such as Learning more »

Research and Development : Drive the creation and implementation of AI models for RegTech, Credit Intelligence, and Personalised Products. Develop Advanced Solutions : Build and deploy machine learning models, behavioral analytics, blockchain solutions, and predictive analytics to address key fintech challenges. Collaborate and Innovate : Work closely with cross-functional teams … Finz at industry events. Mentor and Guide : Provide leadership and mentorship to junior AI researchers and data scientists. Key Qualifications: PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a related field. Extensive knowledge of machine learning algorithms, statistical methods, and AI techniques. Proficiency … as Python, R, or similar, and experience with machine learning frameworks (TensorFlow, PyTorch, etc.). Proven track record of conducting AI/ML research, with publications in top-tier conferences and journals. Familiarity with the fintech industry, including understanding of financial products, services, and regulatory requirements. Excellent written more »

of the largest Healthcare organisations across the UK! They are looking for Senior Data Scientist to join their team, working on high-impact, bespoke machine learning models as part of a high-performing team leveraging advanced analytics techniques to extract insights from complex dataset. Responsibilities: Working closely within … a team, to design and build advanced performance metrics machine learning models. Providing advice and upskilling juniors on statistical methods, healthcare and science data, products, data manipulation, and dashboarding products. Developing new data-driven solutions and approaches to support new commercial solutions and project proposals Stay actively informed … Excellent communication skills with proven experience working with stakeholders or clients Industry specific experience in either consulting or healthcare Experience building capacity and demand machine learning models. How to Apply: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords more »

in designing, developing, and deploying GenAI solutions to solve complex problems in Human Resources business area. The candidate will have a strong background in machine learning, natural language processing, and software development, with hands-on experience in implementing GenAI technologies. Key Responsibilities Develop and Implement GenAI Solutions: Design … Train and fine-tune AI models, ensuring optimal performance and accuracy. Research and Innovation: Stay updated with the latest advancements in GenAI, NLP, and machine learning to continuously improve and innovate our solutions. Collaboration: Work closely with cross-functional teams, including software engineers, data engineers, and data analysts … Document methodologies, processes, and results. Prepare reports and presentations for stakeholders. Qualifications Education: Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. Ph.D. is a plus. Experience: Minimum of 10 years of experience in data science, machine learning more »

to join their well established Data Science function acting as a Senior Machine Learning Engineer – this will mean that you focus on ML infrastructure and deployment methods. They’re an AWS house, so massive bonus points for experience in that kind of environment – particularly serverless/Lambda. Responsibilities … into initial model design & development Help train and mentor others when it comes to best practice around engineering & model deployment methods Ensure that all ML-based infrastructure is in the best possible state. Requirements Commercial experience working as an ML Engineer model deployment) or MLOps/Data Science Engineer role. … End to end "full stack" ML experience in AWS Strong Python coding skills CI/CD experience Ideally some Time Series experience Any LLMs experience in a commercial environment is a bonus If this role interests you and you would like to find out more, please apply here or contact more »

is a global luxury retailer looking for an MLOps Engineer to join their strong AI department, where you will help build and maintain the ML infrastructure as well as supporting the deployment and productionisation of machine learning models. The AI department is a cross functional team who work … a range of projects including NLP, Recommendation, Forecasting and LLMs Responsibilities: Create and manage the machine learning infrastructure Streamline the process of ML experiments into production Build and implement scalable tools and services Continuously explore new technologies to enhance performance, maintainability, and reliability of the ML systems. Apply … across the business What you need to succeed: Strong background as a MLOps Engineer, Platform Engineer or Devops Engineer Must have experience working on ML infrastructure using Docker and Kubernetes Minimum of 3 to 5 years experience Extensive experience with Python Familiarly with Terraform, Databricks and Azure Ability to implement more »

AI/Machine Learning Engineer – 6 months - £600 p/d (Outside IR35) AI/Machine Learning (ML) Engineer, with strong chunking and indexing algorithm experience, required by a leading ecommerce company to set the direction for LLMs. The right candidate will have strong commercial experience … of improving LLM performance whilst being an expert in the utilisation of vast amounts of data. Key requirements Strong experience as an AI/ML Engineer Excellent commercial experience with LLM’s particularly Chat GPT and Llama Experience with data chunking and indexing for AI pipeline. Python skills Relevant degree … or post-graduate degree in AI, ML or related field Duration: Initial 6-month Rate: £600 p/d (Outside IR35) Location: London (hybrid more »

Data Science team already in place who focus on recommendation systems and customer personalisation, the company now want to hire an MLOps Engineer/ML Engineer to focus on machine learning infrastructure and deployment tech. As the first person focusing solely on this skillset in the near future … we’ll need a capable and experienced engineer who is happy making independent technical decisions. Responsibilities Deploy, optimise and maintain the machine learning models at the core of the company’s product offering. Focus on creating state of the art … recommendation system and graph network technology that is scalable and stable. Build APIs for the product. Drive smart and necessary DevOps decision within the ML function – MLOps. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Significant commercial experience deploying and maintaining (MLOps) Machine Learning 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 »

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 »

solver that wants to help keep the country safe? As a Data Scientist at MI5, you’ll be responsible for developing and applying new Machine Learning capabilities to help us automate the detection of the threats we face. Data Science forms a core part of our strategic approach … cycle of our Data Science products from concept through to research and delivery. As a Data Scientist, working closely with technical specialists such as ML Engineers, Business Analysts and Product Managers, your focus will be to understand and prioritise mission problems. You’ll develop solutions tailored to meet the organisation … experience in one of the following areas: Machine Learning, Applied Statistics, Computer Vision, Speech and Audio Processing, Natural Language Processing, Graph theory, ML research, or in a related specialist role. You’ll be proficient in Python for data science, data manipulation and data visualisation. A resilient problem-solver more »