1 to 25 of 315 Machine Learning Jobs in England with Remote Work Options

If you’re interested, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, Machine Learning, Data Science or Simulation contact us today more »

will build Edge-computing and IoT applications for processing vision data and communication layers for the compute-constrained edge devices. You'll be deploying Machine Learning models to production and optimising the platform runtime performance, this is mainly in C++ with parts running on GPU. There's a more »

do what) Inspirational leadership style and entrepreneurial energy Past experience in one of the areas like enterprise software, Large scale transaction processing, AI and machine learning software is desirable Scaling up platforms serving a few geographies and 10X millions to multi geography multi entity 100X millions would be more »

a Senior AI Consultant, you will work on a range of projects, using your experience in data science and AI technologies such as strong machine learning, generative AI, computer vision.../strong/p br br Candidates should take the time to read all the elements of this more »

environment. Experience of two or more of the following techniques: Manipulating large datasets. Predictive analytics. Segmentation analysis. Hypothesis Testing. Statistical Data modelling. Optimisation. Simulation. Machine learning. Desirable Criteria: A willingness to take ownership of personal development, setting realistic goals to improve abilities. Stakeholder engagement skills to support requirements gathering more »

a bank or fintech startup. Previous experience mentoring/managing more junior analysts. Strong analytical skills, with proficiency in SQL. Experience leveraging automation and machine learning to tackle fraud and AML. Well-versed in implementing and enhancing security measures. The ability to work and collaborate with other members more »

explaining them to others. If you've worked with big affiliate publishing platforms, know about AWS Cloud, or are familiar with data meshes and machine learning. The Company An established online and media company is creating products and content that engage with over 100 million people across their sector. more »

Senior Software Engineering Azure MicroServices Decision \ ML Applications Proven track record of internal development & Promotions. Does it sound like a Product, Tech stack and culture you are looking for? A SaaS company based out of Manchester, offering remote work are about to build its 4th squad in 2 years as … they embark on a greenfield project to create its Decision engine based on AI\ML tech. We are looking to add a Senior Developer to the new squad. Developers who love complex solutions and creating simple applications to solve these problems using the latest .Net Core and Azure technology in more »

on various models across Pricing, Fraud and Claims. What you'll do: Collaborate with business partners to improve processes using new data and sophisticated ML techniques. Manage projects from inception to deployment, including benefit assessment. Collaborate with DevOps and Data Engineers to deploy ML models on AWS. Develop Python code … or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Ability to deliver projects on time, taking project briefs and refining them to strong results. Exposure to … BAU. Experience in a wide breath of techniques covering NLP through to causal inference. Exposure to the best technology, architectural patterns, and integrations of ML/GenAI to production in the industry. Additional information Why choose us? This is your opportunity to be at the forefront of our game-changing more »

the expedition of their new product launch. They offer a fantastic progression plan and brilliant training. They are currently researching the benefits of AI & ML in the Finance sector and plan to start work commercially later in 2024. Could you be the one implementing AI in the Fintech space? You more »

s leading financial organisations. The company is working with numerous aspects of pioneering technologies including cloud engineering (partnerships with AWS, Azure and GCP), AI, Machine Learning and blockchain. This is an exciting opportunity whereby you will have the opportunity to successfully deliver a number of neo banks. As more »

connectivity techniques to ensure that audience insights can then be fed directly into campaign targeting to drive efficiency and effectiveness. Activation Algorithms – algorithms leveraging machine learning to support the optimisation of campaign activation using a variety of contextual factors to automatically improve bidding and targeting selection to drive more »

R or Python and Earmix Have built and worked with pricing models such as generalised linear models (GLMs), gradient boosting models (GBMs) and other machine learning algorithms Have experience projecting loss ratios to ultimate Know the benefits of price optimisation and how to use it in practice Understand … Insurance Up to 13 weeks of parental leave at full pay, regardless of your gender Flexible working hours Annual personal training allowance and regular learning opportunities Monthly flexible wellbeing allowance to help you stay healthy and productive Access to Employee Assistance Program It goes without saying that we provide … people based across the US, UK and the Netherlands, we value: Generosity, inclusivity, open-mindedness and diversity The delivery of great results and learning in the open Freedom to make long-term, high-impact decisions The wellbeing of our teammates and the people around us And... Enjoying the ride more »

ML Processor Architect I am seeking a ML Processor Architect to join my semiconductor client in London for at least 2 days onsite per week, and contribute to the development of a unique processor technology, all software and hardware built from scratch, to run the world’s largest language models … architectures Required experience MSc or PhD with minimum 5+ years industry experience developing performance architecture of NPU/GPU/CPU/AI accelerators ML model training, quantization, sparsity, model preprocessing etc. Software-hardware co-design PyTorch, TensorFlow NCCL, OpenMPI C/C++, Python Verilog, RTL What’s on offer … Architect is most likely to achieve a six-figure salary Hybrid working Interested? This is a great opportunity for a MSc or PhD-educated ML Processor Architect. Please apply now for immediate consideration and speak with Chris Wyatt at IC Resources who is recruiting for this position in London, Greater more »

Machine Learning Engineer up to £75 000 London NEW Machine Learning Engineer Opportunity Available with a Leading Organisation! The Company: Are you an expert in Machine Learning? We are on the lookout for a Machine Learning Engineer to join an ambitious team. … through Data scientists/Engineering and Machine Learning Ops' best practices and you will be working on Recommendation Systems and Deploying complex ML Models. The Role: As a Machine Learning Engineer: Apply Machine Learning Engineering project You will build the Machine Learning … SKILLS AND EXPERIENCE: 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 »

as technical knowledge of relational databases and data modelling. Power Bi skills are essential, but additional technical skills such as SQL, Python, Statistics or Machine Learning would be very useful. Additional Requirements: Candidates must have an existing right to live and work in the UK. If this sounds 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 »

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 »

remainder of the week remotely if preferred. About the Company: Our client is dedicated to combating fraud and enhancing customer authentication using cutting-edge machine learning technology. Their innovative solutions provide real-time caller risk assessments, improving customer experience and preventing fraud. They partner with major organizations to more »

I’m on the lookout for a Senior Machine Learning Engineer to join an InsurTech scale-up on a contract basis! You’ll be working closely with Data Scientists and Software Engineers to develop and productionise a … greenfield NLP product. Experience required (min. 5 years): NLP MLOps with Cloud (AWS w/SageMaker preferred, other clouds also considered) End-to-end ML experience Other details: Up to £650 per day outside IR35 3 stage interview process 6 month contract (possibility to extend) Mostly remote – twice per month more »

for business improvements Key Skills 3+ years of Python experience Highly statistical and Analytical Exposure to Google Cloud Platform ( BigQuery, GCS, Datalab, Dataproc, Cloud ML (desirable) Spark & Hadoop experience Strong communication skills Good problem solving skills Qualifications Bachelor's degree or equivalent experience in a quantative field (Statistics, Mathematics, Computer … Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra more »

Lakes, Data factories, ETL techniques, Synapse and PowerBI MS Logic and Power Apps Azure DevOps Experience with the following would be beneficial: AI + Machine Learning Analytics: Analysis Services, Data Lake Analytics, Data Catalog DevOps: Application Insights Key Competencies Will use a coaching and influencing style to achieve more »

Python/Java Previous experience deploying Software into the Cloud EKS, Docker, Kubernetes Apache Spark or NiFi Microservice architecture experience Experience with AI/ML systems more »

Interim Chief Data Officer - AI/ML/C-Suite/VP experience - £1500 - £2500 per day Role: Interim Chief Data Officer Location: London - Onsite/Hybrid Rate: £1500 - £2000 per day with flex Experience Required: A blend of Data Engineering & Data Science experience required for this Interim Chief Data … Officer position with a focus around delivering BI, AI, ML projects at scale. Bonus points for a background/understanding of Gen AI or LLM background Role Profile: This Interim Chief Data Officer position is one that comes with a fair amount of sensitivity so the details below aren't more »

specific expertise in relation to the collection and use of data in online advertising and adtech, fraud prevention data, fan data, sports betting data, machine learning and artificial intelligence. More broadly, the team helps clients manage privacy, reduce development costs and maximise the potential of data, with a more »