51 to 75 of 906 Machine Learning Jobs in England

8VC + Mosaic, 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 »

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 »

the aggregate. You will be responsible for analysing aggregate data across all historic studies, to uncover industry-leading insights through thoughtful data investigations and machine learning algorithms. Our roadmap is ambitious and far-reaching, but manageable. You will be working on projects that you can be proud of … and will have a significant and meaningful impact in the business. ABOUT YOU: We are looking for a hands-on and proactive senior machine learning engineer with a focus on traditional algorithms and an appetite to explore more modern integrations. You will be comfortable taking ownership of projects … expectations. WHY JOIN: You’ll be at the forefront of innovation shaping a fast-growing industry 🔥 Salary of £80,000 - £105,000 💸 The best machine to do your work: a spec’d-out Macbook Pro 💻 Share options so you benefit from our success 🚀 28 days paid holiday plus bank more »

Role: Senior ML Engineer 💸Salary: up to $85,000 🏁Sector: B2C Mobile App 📍Location: Remote (UK, Germany, Italy, Spain or Portugal) Join one of the fastest growing consumer businesses in Europe who have built a nutritional app with a global reach of millions of users. We're on the lookout … for a Senior ML Engineer to be responsible for integrating machine learning into their platform. This role is crying out for someone who wants a blank canvass, and play a key role in setting up tools, processes, monitoring and scouting out where to apply ML. Core responsibilities will … current data (they have a strong team of data engineers and data analysts), and scope out where models can be applied, set out how ML will be evaluated and monitored. Looking for: A minimum of 3 years' hands-on experience as an ML Engineer Demonstrated track record of driving the more »

strategic directives. Key responsibilities of the position include identifying and pursuing strategies to protect innovation in IsoLabs’ research and development activities (including AI/ML as well as small molecule and biologic therapeutic innovations), effectively educating on IP matters, communicating IP guidance, and managing the Company’s intellectual property affairs … provisions in marquee licences and other high-impact agreements Experience practising patent law in the area of artificial intelligence (AI), machine learning (ML), deep learning, data sciences and/or AI-driven drug discovery Experience building or developing an early stage IP legal function Culture and values … and represent the populations we are striving to serve. We’re working to build a supportive and inclusive environment where collaboration is encouraged and learning is shared. We value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal more »

Establish consistent and automated local environments, DevOps practices and tools like Docker and Azure DevOps. Partner with data scientists and machine learning (ML) engineers to deploy ML models on Azure. What’s in it For You? Amazing company to work for! Hybrid working. Great culture and environment. For more »

diagrams to explain a data processing system on a cloud environment Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self-development You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban. Can … engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists to … productionise advanced data deliverables, such as machine learning models Life at Made Tech We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice more »

diagrams to explain a data processing system on a cloud environment Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self-development You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban. Can … engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists to … productionise advanced data deliverables, such as machine learning models Life at Made Tech We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice more »

Our esteemed MBB Client seeks visionary Directors with a passion for innovation, particularly in the realms of Machine Learning (ML), Artificial Intelligence (AI), Natural Language Processing (NLP), Data Analytics, and beyond. Join us in London and lead the charge towards transformative change in the consulting landscape. About Us … insights and operational excellence. The Opportunity: As a Director, you will spearhead initiatives at the intersection of consulting and technology, harnessing the power of ML, AI, NLP, Data Analytics, and other emerging tools to drive innovation and deliver unparalleled value to clients. This role offers a unique opportunity to shape … consulting while leading high-impact projects in London and beyond. Responsibilities: Lead cross-functional teams in the design and implementation of innovative solutions, leveraging ML, AI, NLP, and advanced analytics to address complex business challenges. Collaborate closely with clients to understand their needs and objectives, providing strategic guidance and thought more »

COMPANY: We are working with a leading retail company, who are looking to progress the work they are doing around Machine Learning (Personalisation and Recommenders). They are looking for a Lead Data Scientist to join their team. A retail company is looking for a Lead Data Scientist … to join their team! ROLE: Working on personalisation of the customer journey on end-to-end machine learning projects Working with Python, SQL, Databricks and GCP/Azure Operating closely with a high-calibre team and various stakeholders in the business Building predictive, segmentation and personalisation-based models more »

Enhancing and managing the cloud-based Data Warehouse (Azure, Snowflake) Designing, building and deploying data pipelines to support advanced analytics and the development of Machine Learning algorithms and Generative AI (GenAi) applications Providing technology thought leadership and supporting the business in adoption of Machine Learning and more »

knowledgeable of industry-specific solutions A previous history of creating insights from large data models (called Calculated Insights at Salesforce) or other AI/Machine Learning predictions A working knowledge of and passion to develop skills across SQL, Machine Learning or AI technologies Benefits & Perks Check more »

the largest and most complex transformation programmes in the UK. Key Responsibilities: Developing IT solutions utilising wide range of cutting edge technologies eg.: AI, Machine Learning, Large Language Models (LLM), Robotic Process Automation (RPA), Intelligent Document Processing, and other technologies Testing and improving the feasibility of proposed solutions … developments Required Experience and Skills: Creative approach with the ability to work in a collaborative culture utilising the latest technologies. Exposure emerging technologies including Machine Learning, Artificial Intelligence, LLM, RPA, and Intelligent Document Processing. Software development experience Experience with cloud platforms such as AWS, Azure or GCP DevOps more »

closely with Monetization researchers Develop and manage high quality, robust and efficient data and model pipelines Improve capabilities, performance, reliability, scalability and throughput of machine learning systems in a trading environment. Build automated tools to evaluate model performance Work closely with quantitative, portfolio researchers to improve the profitability … of trading tactics Qualifications: 5+ years of experience in Machine Learning or Quant Finance Strong Python expertise is required, and C++ expertise is a plus. Quantitative background (eg: statistics, linear algebra, or calculus … and/or Pandas and Numpy expertise that allows close collaboration with researchers a strong plus Experience with data driven python pipelines, data/ML platform design production model evaluation, and/or MLOps a strong plus Portfolio optimisation/market impact models/optimal execution/transaction cost analysis more »

but the following will enable you to hit the ground running: Solid knowledge of relevant statistical modelling methods - in particular GLMs Knowledge of relevant machine learning techniques - in particular GBMs Proven experience in working with large data sources Good command of Python, SQL, SAS or similar coding languages … modelling and then implementation in rating Analyse data, interpret output and communicate results to a non-technical audience Build and test Statistical models and machine learning algorithms Work with Data Enrichment team to obtain and use third-party and internally-generated data sources to enhance models Support the more »

but the following will enable you to hit the ground running: Solid knowledge of relevant statistical modelling methods - in particular GLMs Knowledge of relevant machine learning techniques - in particular GBMs Proven experience in working with large data sources Good command of Python, SQL, SAS or similar coding languages … modelling and then implementation in rating Analyse data, interpret output and communicate results to a non-technical audience Build and test Statistical models and machine learning algorithms Work with Data Enrichment team to obtain and use third-party and internally-generated data sources to enhance models Support the 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 »

This agency provides strategic search solutions to the buy-side industry in trading, quantitative trading, machine learning, and technology. They have a global team of knowledgeable, highly networked industry-leading head-hunters in the US and London. Their intimate understanding of their specialist industries provides optimal results to … fast track career progression. We are leading bespoke recruitment, sales, and industry knowledge training. High-value market placement value. Working with the latest AI & Machine learning CRM Platform. Extensive training provided. Resources available that result in successful placements. Market-leading commission structure and incentives. A collaborative culture people 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 »

AI/ML Researcher Up to £50,000 Reading - 50% Remote My Client is one of the market leaders in the Automotive space and are looking for a AI/ML Researcher to join the team to play a pivotal role in enhancing their AI capabilities. Your main responsibility will … senior researcher and other teams to integrate AI approaches into various research domains Take responsibility for the application of data science and AI/ML methods. Effectively communicate complex AI concepts and findings to stakeholders Conduct research on the technical and economic landscape Attend conferences, workshops, seminars, and visit suppliers … What you need to succeed: Degree in Computer Science, AI, Mathematics, or an equivalent discipline. Demonstrate experience in AI/ML research and development within an industry setting. Possess a strong foundational knowledge of AI, ML, and data science principles, including signal/pattern recognition, classification techniques, and deep neural 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 »

America) Excellent Salaries + Commission + Benefits Central Manchester or Remote Areas: Artificial Intelligence, NLP, Data, Computer Vision, Recommender Systems, LLM's, Quantum Computing, Machine Learning, Deep Learning ‍ We are a leading recruitment agency with an established AI department that has been running for over 7 years. more »

Referment has partnered with a trading and insurance company in London who specialise in using the latest Quantitative methods and AI/Machine Learning Concepts to run risk analytics for their industry leading clients. They are seeking a Software Developer who is skilled in Python to build out more »

thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to … time, taking project briefs and refining them to strong results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI … health, wellbeing, lifestyle, and finances. Grow your career with us: whatever your goals, we’ll support you with hands-on training, mentoring, a LinkedIn Learning licence, access to our exclusive Academies, regular career conversations, and expert partner resources from the likes of Women in Data and Women in Tech. more »