1 to 25 of 48 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 »

Xpertise is seeking two talented Machine Learning Engineers to join an esteemed team in Birmingham. As part of our client's growing engineering division, you will play a pivotal role in designing, implementing, and optimising machine learning models and data pipelines. With a strong emphasis on … Location: Birmingham; can be remote-based, hybrid working or office-based Key experience desired/what you will learn: Experience developing, deploying, and maintaining machine learning models in production environments. AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift … with the latest data, AI and cloud technologies, then this one's for you. They have big plans to disrupt the industry with this machine learning work, so it's a great time to join. Interested? Please apply with your CV and/or message Billy Hall for more »

initiatives, staying current with digital trends, and implementing emerging technologies to drive business improvements. Familiarity with artificial intelligence (AI) and machine learning (ML) concepts and their application within the Power Platform and optionally Business Central. Proven ability to collaborate with cross-functional teams, lead digital initiatives, and effectively … initiatives, staying current with digital trends, and implementing emerging technologies to drive business improvements. Familiarity with artificial intelligence (AI) and machine learning (ML) concepts and their application within the Power Platform and optionally Business Central. Proven ability to collaborate with cross-functional teams, lead digital initiatives, and effectively more »

Description Are you ready to make waves in the world of machine learning and AI? We're on the hunt for a ML Architect to join our dynamic global R&D organization. We're looking for someone who brings the heat, fosters seamless collaboration, and is always chasing … solutions, you'll play a pivotal role in our success. If you're a maestro of mapping business requirements to the right AI/ML infrastructure and turning innovative ideas into deployable solutions. if AI and machine learning are your jam, and if you take pride in building … game. You'll be in the driver's seat, working with autonomy, accountability, and technical brilliance. Your mission includes: Translating high-value AI/ML opportunities into the proper technical/platform investments. Serving as our AI/ML technology whisperer, guiding us towards the latest and greatest AI infrastructure more »

the Forensic Technology team you’ll receive training in a wide range of technical and non-technical skills. This can include data manipulation techniques, machine learning, big data technologies, programming and advanced data visualisation training and certifications. We’ll also encourage you to attend in-depth training led … on your individual development needs. Join us and you'll get to work alongside leading professionals in fields such as Big Data, Predictive Analytics, Machine Learning and Data Visualisation. You could be looking for hidden patterns within the global payments of a bank accused of money laundering, searching … successful candidates should be able to evidence experience in one or more of the following competency areas: Emerging technologies (e.g. Contract Lifecycle Management, RPA, Machine Learning, Blockchain). Data analysis (for example using SQL/Python). Data visualisation. Programming or scripting experience. When to apply Once you 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 »

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 »

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 »

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 »

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 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 »

in the office) Join a dynamic team of talented professionals who are pushing the boundaries! COMPANY PROFILE Through the power of Data Science and machine learning, Our client leverages data and delivers at a rapid speed! As they strive for unprecedented growth, they seek an ambitious Lead Data … of forecasting systems and contributing to the continual improvement of their performance. REQUIRED SKILLS AND EXPERIENCE Proficiency in Python, including its associated data and machine learning packages such as numpy, pandas, pyspark, matplotlib, scikit-learn, Keras, TensorFlow, and more. Experience working with object-oriented programming languages. Experience in 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 »

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 »

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 »

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 »

You must be proficient in big data technologies, such as Spark, Kafka and/or Hadoop. A strong understanding of statistical analysis, predictive modelling, machine learning algorithms, and data development and optimisation is essential You could have experience with cloud-based big data architectures and services (AWS, GCP 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 »

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 »

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 »