1 to 25 of 53 Machine Learning Jobs in the Midlands

Learning Software Engineer to join their established AI team. Python, AI, Machine Learning, NLP, Linux, CI/CD pipelines, Terraform. Senior ML Learning Engineer the company and role: Its a great time to join the team. The company delivers a range of enterprise level solutions. Its … CI/CD deployment pipelines > Working with DevOps and SREs in architecting and managing the cloud infrastructure, using Terraform > Mentoring less experienced engineers Senior ML Learning Engineer the environment: > Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy > Machine Learning NLP, ML algos, Hugging Face, large language … models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) > Strong IaC experience, using Terraform or CloudFormation > Data Wrangling > Systems: Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. Senior ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop more »

Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can … Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these … Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit more »

at home and 2 days in the office, working core hours Monday to Friday. As a DevOps/MLOps Engineer you will be operationalising machine learning effectively. You will support the architectural needs of their Data Science team to ensure the seamless deployment, monitoring, and maintenance of machine learning models and data pipelines. You will work in close collaboration with the Data Science team to design and implement scalable and reliable infrastructure for machine learning model deployment and data processing. The successful candidate will deploy machine learning models and data pipelines to … and alerting systems to ensure optimal performance and reliability. In this position, you will develop and maintain automation scripts and tools to streamline the machine learning model deployment process and ensure reproducibility. The DevOps/MLOps Engineer will implement security best practices and ensure compliance with relevant data more »

role offers career progression, training, and opportunities to pivot in a highly specialized field. This company is a leading specialist in developing bespoke software machine learning solutions for businesses within the engineering sector. In this role, you will be part of a specialist development team, contributing to the … development of bespoke machine learning products predominantly using C++. You will work as part of the team to code, debug, and assist across product development requirements. The role is based in the Leicester area and operates on a hybrid basis, requiring 3-4 days in the office. The … candidate will have experience utilizing C++ in a commercial environment. The right candidate should also be interested in the field of Artificial Intelligence and Machine Learning, have the ability to quickly grasp complex systems and relevant concepts, and possess strong verbal and written communication skills. This is a more »

software planning, conducting thorough code reviews, and devising thorough test plans. The ideal candidate will collaborate closely with the MLOps team, tasked with deploying machine learning models on specialized systems like Nvidia Jetson. Key Responsibilities; * Lead the design, development, and implementation of software solutions, ensuring alignment with project … across Windows, Linux, and macOS platforms, addressing platform-specific nuances and optimizing user experience for each platform. * Collaborate with the MLOps team to deploy machine learning models on non- embedded systems, including Nvidia Jetson systems. Manage model deployment, monitoring, and optimization in production environments. Qualifications & Experience * Bachelor's … is a plus. * Knowledge of mobile app development frameworks and platforms (e.g., iOS SDK, Android SDK) is a plus. * Experience in MLOps, including deploying machine learning models on non-embedded systems such as Nvidia Jetson systems. If interested, and you match the criteria above, please apply with your 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 »

and high-performance concurrency? We are building the future of computing, on Arm. We want to make Arm-based hardware the natural choice for ML in the datacenter. To that end, we truly believe that major machine learning frameworks used to run AI must be highly performant. Our … world based in Arm's stylish offices at the heart of Manchester. We work on all aspects of researching, developing and delivering highly optimised ML frameworks into the Arm ecosystem across many ML models. This role will directly contribute to key open source ML frameworks such as TensorFlow and PyTorch. … software. In collaboration with colleagues from Manchester and Cambridge you will work on delivering optimised software for server-class hardware, and integrate it with ML software frameworks and libraries for deployment on our partner's hardware. We work with exciting technology, help to implement new algorithms, and optimise for the 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 »

help to inform the business and work with the Performance Insights Lead to develop the BI dashboards and visualisation tools. - Investigate and implement relevant machine learning and AI tools to identify previously unknown insights and trends - Automate reporting and reduce the reliance on Excel based outputs - Build a …/bi/visualisation platforms such as MS Power BI - Will be able to build and exploit data models, statistical analysis or predictive analytics, machine learning or artificial intelligence - Be experienced at embedding insights and working with the business to be able to use the data to make 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 »

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 »

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 »

has a good understanding of Data Science techniques and the CRM environment. RESPONSIBILITIES: 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 … Hybrid working HOW TO APPLY: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Forecasting, Machine Learning, Data Science, Data Scientist, Retail, Churn, Propensity more »

has a good understanding of Data Science techniques and the CRM environment. RESPONSIBILITIES: 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 … Hybrid working HOW TO APPLY: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Forecasting, Machine Learning, Data Science, Data Scientist, Retail, Churn, Propensity 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 »

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 »

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 … software development languages: C++ 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. Candidate Profile: Demonstrable experience developing communications drivers At least 3 years of experience as a more »

as SNS, SQS and Lambda for event streams, Amazon Redshift, S3 and AWS Glue for data storage & reporting and Amazon SageMaker for our pioneering machine learning products. We are a growing team, and we need more people to help us build the great data products we have planned. … and SageMaker Infrastructure-as-Code tools and approaches (we use the AWS CDK with CloudFormation) Data processing frameworks such as pandas, Spark and PySpark Machine learning concepts like model training, model registry, model deployment and monitoring Development and CI/CD tools (we use GitHub, CodePipeline and CodeBuild 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 »

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 »

/Eligibility required. Qualifications Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use … processing, and feature engineering Experience in designing and architecting solutions Experience in cloud computing, distributed systems, microservices, and APIs Experience around productionising AI/ML models Prompt engineering Lang Chain/Semantic Kernel Frameworks Experience exploring, analysing, and visualising data Excellent communication, collaboration, and problem-solving skills Additional Information Location more »

level and low-level design automentation Fsmiliarity with Agile/DevOps software development methodology Familiarity with CI/CD and pipeline automation Familiarity of machine learning principals/pipelines and associated toolsets such as Pytorch and Tensorflow Familiarity with Azure, AWS, GCP products and services - Knowledge of technologies more »

working with others. Desirable Bachelor’s degree in Mathematics, Computer Science, Computer Engineering, Statistics, or relevant field DP-100, DP-203, DA-100, AZ305 Machine Learning and statistical modelling experience Comprehensive knowledge of the Visual Studio development/SQL Management Studio environments What we offer Competitive salary Great … learning and development plan Microsoft certifications paid for and supported by Mercury Permanent Health Insurance (PHI) Health Cash Plan Critical Illness Cover Electric Car Vehicle Scheme 4% Employer Pension Contribution 25 days holiday per year 1 full extra day “free holiday” on your Birthday Free parking Buy/sell 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 »

management system and process design and implementation. Data quality system and process design and implementation. Major focus on data science, data visualization, artificial intelligenceand machine learning Documentation of solution (e.g. data modelling, configuration, and setup etc.) including HLD and LLD. Qualifications Hands on experience with data solution architecture more »