1 to 25 of 852 Machine Learning Jobs in England

Expert Software Engineer with around 5-10 years’ experience designing and building complex, large-scale distributed systems, sought by a Global Leader in Electronic Markets. Our client is a mega-successful Electronic Trading business business which holds leadership positions in more »

of structured and unstructured data, including the integration of data through AWS and Azure cloud-based ingestion and curation processes. Knowledge of data mining, machine learning, and natural language processing is considered an advantage. Familiarity with Agile methodologies and participation in Scrum ceremonies. Competence in the design and more »

and able to demonstrate that you have: A PhD or similar Post-Graduate qualification in a relevant field Experience with one or more Deep Learning framework (PyTorch preferred) for Graph-based AI High proficiency in one or more programming languages (Python preferred) A track record of writing academic publications … Excellent written and verbal communication skills The following skills are desirable: -Large scale/parallel computing -Multi-modal or explainable machine learning methods -Working with knowledge graphs and graph databases Achieve together We want the best people on our team, so we welcome and encourage applications from people more »

understanding of our Client’s portfolio of services and solutions to effectively present and sell to customers. Data Hosting, Protection, Connectivity, Analytics (AI/ML), support and monitoring and security. Customer Conversations: Engage with clients on a range of IT topics including everything from end users and peripherals all the more »

particles. The organisation is focusing on the improvement of gene therapy delivery, developing a drug delivery platform which utilises both highly engineered nanoparticles and machine learning methodology. They have already created several effective partnerships with pharma and biotech companies to create an impressive research pipeline, with a particular more »

serves clients in 20 countries across four continents and has 7,000 employees worldwide. Key responsibilities Develop and execute a comprehensive strategy for the ML and Data Science Center of Excellence, aligning with the company's overall business objectives and tech enablement goals. - Build and lead a high-performing, cross … functional team of ML engineers, data scientists, and domain experts, fostering a collaborative and innovative culture. - Evaluate and select the appropriate ML models, frameworks, and technologies (e.g., TensorFlow, PyTorch, Kafka) to address specific business challenges and drive automation across various service lines. - Collaborate closely with stakeholders, including the CTO, CEO … SVP of Legal Services, Product Management, and Development teams, to identify opportunities for ML and LLM integration and drive impactful projects. - Ensure data security, privacy, and compliance with relevant regulations (e.g., GDPR, EU AI legislation) by designing robust data governance frameworks and embedding ethical AI principles into all solutions. - Oversee more »

Machine Learning Scientist Paying up to £110,000 Bristol Office (flexible approach to office time – someone commutable would be ideal) VC Backed AI Start-up – Biotechnology La Fosse have partnered with a cutting edge Bio-Tech AI Start-up, who are currently hiring for a Machine Learning … be pivotal in advancing the development of the AI models, contributing to research, methodology development, data enhancement, and collection. Requirements: Strong educational background in ML or related topic, with a PhD and publications. Strong experience with Python. Cloud infrastructure is beneficial (Ideally GCP but AWS and Azure is fine). … Knowledge of ML libraries (TensorFlow, PyTorch, NumPy, and Pandas etc). Knowledge of Computer Vision. Nice-to-Have Skills or Background: Experience in genomics or bioinformatics research projects in an academic, pharmaceutical, or biotechnology setting. If you’re interested in this role, please apply through the advert to find out more »

including containers and serverless implementation. E.g. Kubernetes, Docker, OpenShift, AWS Lambda, Cloud Functions (GCP). • Machine learning tools and techniques, e.g. Auto ML, Tensorflow, Natural Language, Vision AI Common technology components: Google Cloud • App Engine • Cloud Functions • Kubernetes Engine, Compute Engine, VPCs • Cloud Spanner, Cloud SQL and BigQuery … Dataflow, Apache Beam • DialogFlow, Auto ML, AI Platform Architecture • Microservices patterns • Event-driven architectures and message queues • Relational and non-relational databases Languages and frameworks • Java 8+, JavaScript, Python • Common frameworks and APIs such as Spring Boot, Guice, Jersey, Node.js, Flask • Knowledge of JVM, its limitations, weaknesses, and workarounds • Building more »

At BioAI, we advance healthcare and push the boundaries of medical science through a combination of expertise in biology and machine learning. One key research area is the development of next-generation vaccines and bio-pharmaceuticals for the treatment of cancer and the prevention and therapy of infectious diseases … also be responsible for writing high-quality, maintainable, well-documented python codes. Keywords: Protein Structures, Computational Biology, Protein Design, Statistics, Data Analysis, Infectious Disease, Machine Learning Responsibilities Understand and process the data of different modalities (sequence, structures, experimental measurements) and curate them for data analysis and machine … databases (PDB, Uniprot, etc.) and their API technologies. Demonstrated ability to contribute to novel research efforts; such as publications at leading life science or ML venues. Our commitment to our people We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and more »

methodologies, cloud-based solutions, Digital Evolution, API Management and Intelligent Automation. Supplier management and project management are key to manage outsource partners. Knowledge of Machine Learning and AI technologies is desirable Excellent presentation and reporting skills to give regular updates of progress to management and executive layer Knowledge more »

data each month with a mandate to take it to the next level in terms of table formats, lineage, streaming data and AI/ML tech capabilities. You will also have exciting opportunities to work with cutting edge teams in Product, Financial Crime Management, Capital Markets solving real business problems more »

A to Series C. You thrive in a data leadership role that is equal parts strategic and hands-on. You have deep knowledge of machine learning, statistics and optimisation, with plenty of Python and Google Cloud Platform experience. You’re used to working with large data sets from more »

new levels of efficiency when working with complex financial data workflows. We are trusted by over 1 million SMBs worldwide. Our solutions embrace AI, machine learning and emerging technologies to advance and improve the accounting process for all, to make accounting more effortless. We are now looking to … medical insurance and health cash plan (Medicash - reloadable shopping cards, cinema ticket discounts, online discounts and more!); Cycle to work scheme; Access to LinkedIn Learning plus training and development opportunities Payroll giving; Income protection; Mental health support through Help@Hand. more »

sector as a VP of Data. THE ROLE As a VP, you will be responsible for: Steering the strategic direction of the Analytics and Machine Learning platform Supporting client delivery by providing actionable insights and recommendations to stakeholders Implementing data governance and security best practices Scaling and growing more »

with a high-calibre team in place. Your responsibilities as an NLP Engineer/LLMs Engineer will include but not be limited to: Leverage Machine Learning/NLP techniques to build Large Language Models. Fine-tune Large Language models and optimise them through applied Machine Learning. Collaborate more »

get those! Core: SQL Server (T-SQL and DBA) Data Analytics stack (IS, AS, RS) Power BI, DAX MDS Azure Data Lakes Supporting: Azure ML .Net/HTML5 Azure infrastructure R, Python Powershell Hadoop, Data Factory Principles: Data Modelling Data Warehouse Theory Data Architecture Master Data Management Data Science WHY … Bonus Great holiday allowance plus your birthday and volunteering days off Company team days (3 times a year!!) Unlimited budget for books for your learning Trips to technical conferences (e.g. SQLBits) Cycle To Work scheme All the usual perks (pension, healthcare blah blah) plus a few other cool ones more »

aspirations. They provide a stable and supportive environment. They are looking for a Compute Library Engineer to develop and optimise high-performance kernels for ML operators on NPU architectures. They are looking for an exceptional engineer to join a talented team of 5 engineers at an exciting time of growth … a successful Compute Library Engineer? Extensive experience in kernel development projects for GPUs Involvement in OpenCL, CUDA or similar parallel programming languages Understanding of ML frameworks - TensorFlow, PyTorch etc Strong C++ development skills Ability to work independently in a fast-paced environment If you are a Compute Library Engineer looking more »

Machine Learning Engineer - up to £110,000 - Hybrid Working London I am currently partnered with a data-driven technology scale-up who are looking to add experts to the machine learning team! The best-matched machine learning engineer will have the following experience and more »

our clients with Smart Digital Operation solutions - Intelligent technologies and solutions to digitalise, optimise and streamline industrial operational processes. Leveraging Data Analytics, Digital Twins, Machine learning, Automation and the IIOT (Industrial Internet of Things) to enhance process efficiency, help to drive to Net zero, product compliance, asset health … C#, Python, and SQL It would be beneficial to have an knowledge of IIoT platforms – ThingWorx , Aveva technology stack,analytical tools, digital twins and machine learning, or other relevant operational technology information systems. Proven experience integrating with RESTful Web Services Candidate Profile: Experience in developing UI Proven experience more »

trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are also … of the CPG space Strong project management and team management skills and ability to work with global teams A solid understanding of statistical and machine-learning algorithms is a plus Strong SQL skills and hands-on experience with analytic tools like R & Python; & visualization tools like Tableau & Power more »

I'm currently working with an energy trading client who is looking to continue scaling their team and are currently searching for a Machine Learning Engineer and will consider individuals from a Python Engineering or Data Science background. Based in Central London, this company offers hybrid working with more »

This role offers an exciting opportunity to lead innovative projects while contributing to the evolution of our AI-driven solutions. Responsibilities: Utilize AI and machine learning techniques to enhance and optimize internal and external-facing applications, leveraging customer and client data for personalized experiences. Implement AI-driven chatbots … development standards. Provide guidance and support to team members, fostering a collaborative and productive work environment. Required Skills: Advanced proficiency in AI technologies, including machine learning, natural language processing (NLP), and predictive analytics. Strong knowledge of programming languages commonly used in AI development, such as Python, R, or more »

Strong proficiency using Python and attached libraries. Experience in data manipulation and analysis using relevant libraries and frameworks. Solid understanding of statistical concepts and machine learning techniques. Proficiency in data visualization tools and techniques to effectively communicate insights. Experience with database querying languages (e.g., SQL) and working with more »

a fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. About you: Our team is our more »

data science libraries communication skills with the ability to work with all areas of the business from technical staff to non-technical team members. ML concepts to weather analytics. with C++ or Rust – Advantageous * You must be eligible to work in the UK without requiring sponsorship* Not quite right for more »