101 to 125 of 356 Machine Learning Jobs in England with Remote Work Options

client needs. Lead the design, development, and deployment of data management frameworks, policies, and best practices. Oversee the integration of data analytics, AI, and machine learning into client solutions. Collaborate with cross-functional teams to drive data innovation and identify new business opportunities. Ensure data governance, compliance, and … experience in data science, analytics, and/or business consulting. Strong understanding of data management principles, data governance, and regulatory requirements. Expertise in AI, machine learning, and advanced analytics. Excellent strategic thinking, problem-solving, and decision-making skills. Strong leadership and team-building abilities. Exceptional communication and interpersonal more »

and passion for your chosen field. At the core will be the development and use of appropriate analytical techniques that include advanced analytics and machine leaning to tackle some of the highest areas of fraud risk to the NHS and ultimately protect public funds for patient care. Potential applicants … for purpose. Please see full Job Description and Person Specification. Person Specification Knowledge and Experience Essential Advanced theoretical & practical knowledge of data analytics and machine learning, acquired through specialist training or experience in an appropriate field. Knowledge of data, its use and application within NHS or other complex … handle detail in strategic plans and make informed decisions and judgements. Desirable Current broad knowledge of the contemporary data science environment concerning data science, machine learning and artificial intelligence. A robust understanding of data and development of efficient data pipelines Qualifications Essential Educated to degree level in relevant more »

and passion for your chosen field. At the core will be the development and use of appropriate analytical techniques that include advanced analytics and machine leaning to tackle some of the highest areas of fraud risk to the NHS and ultimately protect public funds for patient care. Potential applicants … for purpose. Please see full Job Description and Person Specification. Person Specification Knowledge and Experience Essential Advanced theoretical & practical knowledge of data analytics and machine learning, acquired through specialist training or experience in an appropriate field. Knowledge of data, its use and application within NHS or other complex … handle detail in strategic plans and make informed decisions and judgements. Desirable Current broad knowledge of the contemporary data science environment concerning data science, machine learning and artificial intelligence. A robust understanding of data and development of efficient data pipelines Qualifications Essential Educated to degree level in relevant more »

Title: Senior Software Engineer Package: Up to £0,000 + benefits Location: Hybrid (London, UK) Is this your next move? Building machine learning products used by blue chip companies worldwide. Working in a scale-up environment surrounded by like-minded and passionate engineers. Shipping software products into a … long untouched industry. SoCode Recruitment is hiring on behalf of one of their reputable clients. Our client is a machine learning company operating within the legal sector who are looking to scale massively throughout 2024 and into 2025. They have a well-regarded product in the market and … to also take ownership of decisions. Responsibilities: Take the lead on engineering initiatives. Mentor other engineers in software development and promote an environment for learning and growth. Collaborate with cross-functional teams to define technical requirements and system architecture. Drive the adoption of best practices in coding, testing, and more »

AI tools such as AWS Bedrock , Azure AI , Claude , OpenAI , and similar platforms. Experience with natural language processing (NLP) and machine learning (ML) techniques. Familiarity with integrating AI models into business processes, particularly in customer service and finance. Ability to work independently and manage multiple tasks effectively in more »

AI tools such as AWS Bedrock , Azure AI , Claude , OpenAI , and similar platforms. Experience with natural language processing (NLP) and machine learning (ML) techniques. Familiarity with integrating AI models into business processes, particularly in customer service and finance. Ability to work independently and manage multiple tasks effectively in more »

Position Type: Freelance/Contract/B2B Summary: We are seeking Probabilistic modelling Specialist with a strong background in risk assessment, data analysis, and machine learning. The ideal candidate will be responsible for designing, developing, and implementing a comprehensive risk assessment module that evaluates potential risks associated with new … the design and development of a risk assessment tool/module to evaluate the potential risks of new projects. Utilize advanced statistical, probabilistic, and machine learning techniques to identify, quantify, and predict risks. Integrate the tool with existing project management systems and ensure seamless data flow and user … Experience in risk management or project management is highly desirable. Proficiency in programming languages such as Python, R, C++ or SQL. Strong understanding of machine learning algorithms, statistical methods, and probabilistic modeling techniques. more »

and security. AI Integration in Healthcare: Assist in the development and implementation of AI solutions tailored to healthcare challenges. Collaborate with data scientists and machine learning engineers to deploy models into production environments. Utilize genomics, clinical, and administrative data to derive actionable insights and recommendations. Research and Innovation … ETL processes, data modeling, and database management, as well as SQL. Knowledge of healthcare industry standards, regulations, and data interoperability. Familiarity with AI and machine learning concepts, and a willingness to learn and apply them in a healthcare context. At least 6 Months experience working with Gen AI. more »

You will solve multiple of computer vision related problems end to end and integrate solutions into our cloud processing pipeline. You will identify appropriate machine learning models through research, such as reviewing academic papers and adapting them for our use. Drive the development of the cutting-edge 3D … AI pipeline, leveraging the latest breakthroughs in 3D data processing, 3D vision, and machine learning techniques. This entails system design and comprehensive testing. Identify and address bottlenecks in data, pipeline, and operations, proactively devising and implementing agile solutions to enhance scalability and optimize performance. Take ownership of project … with Computer Vision models, particularly in the context of SLAM. Demonstrate proficiency in analyzing 3D Video and performing 3D reconstruction. Technical expertise: Python, Deep Learning frameworks (PyTorch or TensorFlow), AWS. SALARY AND BENEFITS Competitive salary range: ££90,000 to £110,000 Equity ownership in the company. Comprehensive benefits package. more »

planning and delivering models and analysis that underpin the prices that go to market. You will need to understand both statistical modelling methods and machine learning techniques. Skills & experience needed: Solid knowledge of relevant statistical modelling methods – in particular GLMs Knowledge of relevant machine learning techniques more »

Title : Senior Software Engineer Package : Up to £80,000 + benefits Location : Hybrid (Cambridge, UK) Is this your next move? Building machine learning products used by blue chip companies worldwide. Working in a scale-up environment surrounded by like-minded and passionate engineers . Shipping software products into … long untouched industry. SoCode Recruitment is hiring on behalf of one of its reputable clients in the Cambridge tech space. Our client is a machine learning company operating within the legal sector and looking to scale massively throughout 2024 and into 2025. They have a well-regarded/… best practices across the development lifecycle. Responsibilities: Take the lead on engineering initiatives. Mentor other engineers in software development and promote an environment for learning and growth. Collaborate with cross-functional teams to define technical requirements and system architecture. Drive the adoption of best practices in coding, testing, and more »

Direction : Define the technical direction of the systems and tools utilised by the team, particularly as we advance towards leveraging Machine Learning (ML) and Artificial Intelligence (AI) technologies. Required Experience: To excel in this role, you should have demonstrable experience with the following: Snowflake : Proficiency in Snowflake, including more »

first instance starting 4th November 2024. Main duties of the job The successful candidate will be involved in cutting edge research utilising statistical and machine learning models for biomarker discovery, contributing to the advancement of Food allergy. This project will be carried out under the supervision of Dr … analysis Experience handling missing data and imputation Experience within a research environment and publication in relevant and refereed journals Knowledge of Multivariate Statistics and Machine Learning Knowledge of Network Analysis for omics data Further information The post is full-time and fixed term until May 2026 and you more »

on best-in-class technical excellence and delivery by setting standards, defining ways of working and championing best practice Overseeing the professional development and learning for technologists in the team Co-owning the overall strategy for the Defence Unit incl. designing team structure, managing budgets, coordinating staffing and recruitment … ll:Be an established technology leader with a track record of leading both the strategy and the delivery of projects in the AI/Machine Learning spaceHave the ability to communicate complex, technical information to internal and external stakeholdersIdeally have experience in the Defence/National Security sector … particular within resource-constrained settings e.g. denied environments, edge and on-device Come from a hands-on background with real-world deployment experience of machine learning or AI applications in production and architecting hardware/software systemsShow strong commercial aptitude, with the ability to maximise commercial, technical and more »

Job Title: Project Coordinator Onsite Cambridge office – hybrid Duration: 12 months Salary: £86,000 per year The Data team is responsible for ensuring our machine learning researchers have the data they need to produce solutions to the above goals. We are therefore seeking a Project Coordinator to help … attention to detail, excellent organisational skills and time management. Strong interpersonal and communication skills. Desired: Previous experience with the annotation of datasets. Knowledge of machine learning/artificial intelligence would be advantageous. Programming or scripting experience, e.g. Python. Education Relevant or a relevant professional experience. This role offers more »

globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety more »

Specialist will have hands-on knowledge of FDA regulations, ISO standards & SaMD - as well as proven experience working with medical devices that use AI & Machine Learning. The purpose of this role is to provide expert advice and guidance on FDA approvals and 510(k) submissions. The Company The Regulatory … Affairs Specialist/RA Specialist will join an innovative Machine Learning MedTech start-up based-in Cambridge. The Regulatory Affairs Specialist/RA Specialist will contribute to a supportive team environment, which rewards hard work and innovative thinking. The current work pattern in place is fully remote. Benefits … completing submissions through 510(k) regulatory pathways Strong knowledge of SaMD (Software as a Medical Device), ideally with experience of radiology and AI/Machine Learning Further experience of UKCA and CE marking, as well as working with multi-disciplinary technical teams is advantageous The list above is more »

financial knowledge to build models that are critical to the success of our business.You’ll benefit from a training programme that will balance academic learning with the development of business and technical skills. Your skills will be matched against the most appropriate needs, and you'll be placed within … one of our quantitative teams within Commercial Banking.Specialist Training includes:Quant Academy: Internal lecture series on financial modellingC++ & Python Programming: Self-learning & on-siteQuant hub: self-learning lectures by industry practitionersARPM: Moderated self-learning platform on machine learning and risk management methods in the real more »

Evaluation Master & Reference Data Management - Advisory Report Meta Data Management - Artefacts Data Optimization: Query Optimization (Data Warehouse) - Advisory Report Semantic Layer - Artefacts Analytics Modelling: ML Ops - Strategy Real-Time Workload Integration: Synchronous Web API API Monetisation - Artefacts Data Storage: Operational Datastores - Relational Database - Artefacts Essential Skills and Experience: Proven experience … management. Proficient in query optimization and data warehouse management. Experience with modern data science techniques, including decision trees and machine learning operations (ML Ops). Ability to evaluate and recommend tools for data quality management. Familiarity with real-time data integration using synchronous web APIs and API monetization 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 »

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 »

functional specifications across multiple functions Construct SQL queries, report and visuals, using technology like Tableau, for exploratory data analysis Develop and test models using ML model to generate predictive insights Essential Criteria must be clearly demonstrated on CV In depth commercial experience with Azure, AWS or Google Cloud IaaS/… PaaS in area of data preparation/integration and ML model constructions. Experienced with structured and unstructured data and proficient with good with Hypothesis formulation, data preparation and model building. Experience in combining qualitative and quantitative datasets. Experienced in either programming languages such as Python and/or R, data … Proficient with Data concepts and handling variety of datasets, good with hypothesis formulation, data preparation and model building. Should possess enough proficiency with Statistical & ML model building using R and/or Python languages (generalized linear models, logistics/linear Regression, Tree based and Boosting models, Decision trees, Random Forest more »

across the organizationPolicy and Standards Development: Design and implement guardrails, policies, standards, and best practices for AI development, ensuring ethical use and consistencyFostering a Learning Culture: Encourage a culture of continuous learning and innovation around AI technology and engineering principles within the teamProject & Product Management: Ensure that the … a 14er challengeComplimentary beverages, snacks and all employee Happy HoursMust have skills Computer Science, Engineering, Mathematics, or related field of educationExpertise in AI and machine learning technologies with proficiency in Microsoft Azure offerings such as OpenAIStrong programming skills in Python, R, C#, or similar, with experience in cloud … and consensus from all levels of the organizationCommitment to ethical AI development, with a track record of implementing effective policies and standardsPassionate about continuous learning, with the ability to foster a collaborative and innovative team environmentNice to have skills Strong leader equally comfortable facing off to partners and directing more »

Hello there, Greetings from INFOPLUS TECHNOLOGIES!!! We are actively looking for contract role for a ML Ops Engineer. Job Details: Role Title: ML Ops Engineer Contract duration: 3 months Location: London- HYBRID Industry: banking -------------------------------------- Required Core Skills: -CI/CD pipelines and Agile frameworks -MLops -Python - Min 8 yrs experience … and 5 yrs experience in machine learning Nice to have skills: -data engineering -LLM and Gen AI Minimum years of experience: 5-8 Detailed Job Description: - Polygot Developer , able to code (or learn quickly) multiple languages, such as python, java, javascript, html, golang, etc. -Able to quickly pickup 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 »