1 to 25 of 31 Machine Learning Jobs in the West Midlands

team to understand and build solutions that combine internal insight, patient outcomes, and external data feeds - creating an opportunity to explore big data and machine learning algorithms. Support the implementation of the security controls that ensure patient data privacy and full compliance with the Data Protection Act/ 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 »

lambda lab. Main responsibilities include but not limited to (Please note that applicants are not expected to fulfil all of these tasks single-handedly): Machine learning algorithm design including reinforcement learning, generative models etc. or optimization algorithm design including combinatorial optimization, operations research, etc. Conducting Algorithm theoretical … analysis; Information security algorithm and protocol design; Building (statistical) learning theory; Artificial Intelligence System Design; Technical Paper Writing; Project Proposal Writing； We would like you to have: PhD or Master’s degree (research-based is preferred) in Computer Science, Mathematics, Physics, or related fields； Familiarity with artificial intelligence algorithms more »

data-driven decision-making: play a crucial role in fostering a data-driven culture within the iterative output teams Future planning: Incorporate AI and ML models into data streams to create predictive analysis models, informing business decisions ahead of time Experience required for the opportunity: ● Ability to read and analyse more »

like Torque Management, Traction Management & Thermal Management. · Curious and Perpetual Learning mindset to be able to apply cutting edge technologies like AI/ML to influence Supervisory Management Control Strategies. · An individual with a Customer Focussed Mindset who can translate complex technical solutions into real world customer benefits. · An … software testing and quality metrics (coverage analysis, complexity analysis). · Experience with automotive communication protocols e.g. CAN/CAN FD/UDS. · Knowledge of machine learning and big data algorithms and implementations. Duties & Responsibilities Prepare technical roadmap for the subject area . Develop and design new functions. · Support … supervisory controller functions. · Provide ongoing assessment of software design processes and optimise changes as needed · Contribute to Advanced Research · Support advanced SW development including machine learning and big data features. · Support development and validation of advanced energy management algorithms, Thermal management Strategy and 4WD Torque Split Strategy. · Support more »

progressive work environment with significant opportunities for growth. They are looking to make a lot of progress in the applications around Data Science and Machine Learning within the industry. Immediate work will cover projects Forecasting and Predictive Modelling. ROLE: Lead forecasting projects independently from start to finish Utilize … machine learning techniques to anticipate trends and inform strategic decisions Collaborate closely with data engineers and business partners to gather requirements and drive insights Undertake projects such as forecasting margin after discount, warehouse usage, product demand etc. Be actively involved in the planning of new stores. REQUIREMENTS: Strong more »

think is required! Skills desired/what you will learn: Microsoft Azure Azure SQL Microsoft Fabric Delta Lake, Databricks and Spark Statistical Modelling Azure ML Studio Python and familiarity with libraries and frameworks for data analysis and machine learning (e.g., TensorFlow, sci-kit-learn, Pandas). Microsoft Power more »

have some good experience in algorithm research in an academic environment, information security algorithm & protocol design, and has some recent relevant publications. The role: * Machine Learning Algorithm design, optimising algorithm design including combinatorial optimisation * Technical Paper and Project Proposal Writing * Onsite in Birmingham We would like you to more »

the team to support growth and profitability using analytics and data within their pricing team. The Role: Building pricing models, using statistical techniques and machine learning algorithms. Conducting data analysis and reporting to evaluate pricing performance and identify opportunities for optimization. Developing and implementing pricing strategies Utilizing your … to extract, manipulate, and analyse large datasets. Experience using Python to build pricing models Proven experience in building pricing models using statistical techniques and machine learning algorithms. Excellent communication and interpersonal skills Experience working with senior stakeholders and helping to implement pricing strategy Benefits Up to more »

them Create and implement data architecture design and data modelling coupled with focus on data visualisation, AI (Artificial Intelligence) and Machine Learning (ML) Shape and define data strategies and understand specifications of data integration and data migration approaches Work within a project management and agile delivery methodology environment more »

like Torque Management, Traction Management & Thermal Management. Curious and Perpetual Learning mindset to be able to apply cutting edge technologies like AI/ML to influence Supervisory Management Control Strategies. An individual with a Customer Focussed Mindset who can translate complex technical solutions into real world customer benefits. An … software testing and quality metrics (coverage analysis, complexity analysis). Experience with automotive communication protocols e.g. CAN/CAN FD/UDS. Knowledge of machine learning and big data algorithms and implementations. Duties & Responsibilities Prepare Technical Roadmap & Lead New Function Development. Prepare technical roadmap for the subject area … supervisory controller functions. Provide ongoing assessment of software design processes and optimise changes as needed. Contribute to Advanced Research. Support advanced SW development including machine learning and big data features. Support development and validation of advanced energy management algorithms, Thermal management Strategy and 4WD Torque Split Strategy. Support more »

Laravel, SCSS, React Apps. Preferred requirements of a Mid Level Developer: Knowledge of cloud technology such as AWS, Docker, Kubernetes, Google Cloud. Interest in ML/AI and the desire to implement it in a production environment is desirable. React and experience building UI components is desirable. Experience with RESTful more »

/Owner to lead the evolution and operational integration of our Dynamic Allocation System (DAS), having a real focus on the adoption of AI (ML) and setting the stage for future integration with Connected Autonomous Vehicles (CAV). Role Description: As a Product Manager for Dynamic Allocation, you will be more »

progressive work environment with significant opportunities for growth. They are looking to make a lot of progress in the applications around Data Science and Machine Learning within the industry. Immediate work will cover projects Forecasting and Predictive Modelling. ROLE: Lead forecasting projects independently from start to finish Utilize … machine learning techniques to anticipate trends and inform strategic decisions Collaborate closely with data engineers and business partners to gather requirements and drive insights Undertake projects such as forecasting margin after discount, warehouse usage, product demand etc. Be actively involved in the planning of new stores. REQUIREMENTS: Strong more »

The ideal candidate's favourite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyse raw data: assessing quality, cleansing, and structuring … 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++, Java, SQL) Familiarity with Big Data frameworks and visualization 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 »

both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just … Job You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services, Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information more »

Desirable Skills/Things you can learn: Experience or a keen interest in cloud technologies (AWS, Docker, Kubernetes). Curiosity about or experience with ML/AI, with a view to applying it in real-world scenarios. Expertise in building RESTful Web Services and UI components using React. An interest more »

Management function, as a Business Development Manager, supporting the next phase of Cyberforts growth. Youll be joining a culture of knowledge sharing and continuous learning with expert peers in Sales, Bids and lead conversion. We work across a number of sectors with a diverse client base. We aim to … investment in developing technology and cyber capability; we aim to deliver innovation to our customers as fast as possible. Whether it's AI-driven ML-based threat intelligence or rapid start hybrid Cloud; our goal is to implement solutions that make us stand out in the market. If that sounds more »

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire more »

Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statistical analysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into a stable … model development and production and the alignment with model governance, business, and regulatory standards. oMaster's degree, in numerate subject or equivalent experience/learning developed in a similar role (e.g., Mathematical, Data Science, Computer Science, Physics, or related discipline). Desirable Advanced knowledge and practical experience of developing more »

processes, data wrangling methods, models, data structures, and data formats. oJSON, SQL, and XML oWriting robust data pipeline code that can run unattended. oMachine learning for engineering practices, such as meta driven intelligent ETL and pipeline processes. oStrong skills in relevant programming languages, frameworks, and platforms including, SQL, Python … engineering. oExperience/understanding of data lifecycle management frameworks and project management methodology. oExperience in technologies relating to Data Science, for example: statistical analysis, machine learning, or natural language processing. oExperience with relational SQL and databases. oExperience with Azure cloud services. oMaster's degree, in relevant subject or … equivalent experience/learning developed in a similar role (e.g., Data Science, Computer Science, Information Technology, Engineering, or related discipline). For the purposes of this job description equivalent experience would be management and technical experience in a similar sized and complex organisation, successfully providing the necessary drive, leadership more »

teams to understand requirements and translate them into technical solutions. Architect and implement data platforms using Microsoft and Databricks technologies to support analytics, AI, machine learning, and other data-driven applications. Work with colleagues to establish and enforce best practices for data architecture, data modelling, and data governance. more »

teams to understand requirements and translate them into technical solutions. Architect and implement data platforms using Microsoft and Databricks technologies to support analytics, AI, machine learning, and other data-driven applications. The Head of Data Engineering will be a remote based role with the need to go into more »

Data Science - Business Manager/Data Science/Machine Learning Engineer/CRM/Data Science/Stafford/Stone/Stoke-on-Trent/Burton-on-Trent/Cannock - £45,000 - £55,000 My client is hiring for a new Data Science and Business Manager. Your role … Data Science, Materials Science, or a related field. Must have experience in Materials Science Proven track record in computational modelling & or statistical analysis, and Machine Learning Having a working knowledge of using Python or R would be Responsibilities: Lead on projects that involve computational modelling and data analytics … manufacturing processes and characterisation techniques Collaborate with team members along with communicating to the relevant stakeholders on technical matters Data Scientist- Business Manager/Machine Learning Engineer/CRM/Data Science/Stafford/Stone/Stoke-on-Trent/Burton-on-Trent/Cannock more »