51 to 75 of 142 Machine Learning Jobs in Manchester

AI technologies to a broad range of learners. Design and update training materials, including labs, presentations, and assessments, aligned with current industry needs. Collaborate with employers to design bespoke learning pathways and upskilling programmes. Mentor and support learners throughout their journey, fostering a positive, inclusive learning environment. Stay current with the latest industry trends, tools, and best practices … hold a valid Certified Trainer accreditation on a major cloud platform (e.g. AWS, Azure, or Google Cloud). Strong grasp of data modelling, warehousing, and cloud-based deployment of machine learning models. Proficient in Python, R, SQL, or similar languages. Skilled in instructional design and adult learning methodologies. Able to create engaging, outcomes-driven learning experiences More ❯

owncreativity to solve our client's challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning softwaree.g. Amazon and Azure machine learning, or Google'sTensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational More ❯

will be beneficial. Key Responsibilities Develop and maintain scalable, efficient backend systems and APIs for internal and client-facing platforms. Collaborate with data scientists and energy specialists to integrate machine learning models and data processing pipelines into production software. Contribute to tools that support renewable energy optimization, including grid analytics, tariff comparison, and wind farm design automation. Work More ❯

candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design More ❯

candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design More ❯

candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design More ❯

candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design More ❯

Agile development methodologies and version control systems such as Git. Preferred Skills but not essential to have Experience with front-end development (React, Angular, or Vue.js). Knowledge of machine learning or AI-powered analytics. Familiarity with IoT and energy monitoring systems is a plus. Understanding of energy management systems and sustainability practices. Benefits Competitive salary Plus personal More ❯

at 1st Central . You'll lead in shaping and scaling our Azure Data Platform-designing solutions that are smart, secure, and scalable, supporting everything from business intelligence to machine learning. You'll collaborate with Data Architects, Principal Engineers, and teams across Tech to deliver infrastructure as code using tools like Bicep and Terraform. Whether it's setting standards … periodically. What's involved: Collaborate with Data Architecture and Principal Engineers to develop new data capabilities in our Azure Data Platform. Lead design and implementation of Data Science and ML Ops environments. Manage infrastructure, security, and performance of the Azure platform, ensuring data protection and insight delivery. Translate high-level solutions into detailed designs and work packages. Build and test More ❯

core ecosystem. Proven experience in designing, developing & deploying scalable backend systems. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS) or Familiarity with Big Data and Machine Learning technologies (NumPy, PyTorch, TensorFlow, Spark). Excellent communication, collaboration & problem solving skills, ideally with some experience in agile ways of working. Security clearance: You must be able More ❯

internal processes and clients. Create innovative applications leveraging Generative AI models for intelligent outputs, such as: Predictive analytics Integrate AI algorithms into web-based platforms for seamless functionality. Optimize machine learning models for real-time performance. Refine AI training data to improve algorithmic accuracy. Explore new frontiers in AI-driven automation and creativity. Code Review and Documentation: Conduct More ❯

BI , SSAS Tabular , DAX , and T-SQL Comfortable with Python for data modelling and predictive analytics Proven experience building forecasting models and 'what-if' scenarios Exposure to AI/ML tools applied to business problems Solid stakeholder management skills - able to work with teams across the business Background in insurance or financial services is a strong advantage Familiarity with Databricks More ❯

BI , SSAS Tabular , DAX , and T-SQL Comfortable with Python for data modelling and predictive analytics Proven experience building forecasting models and 'what-if' scenarios Exposure to AI/ML tools applied to business problems Solid stakeholder management skills - able to work with teams across the business Background in insurance or financial services is a strong advantage Familiarity with Databricks More ❯

progress, risks, and benefits realisation Promote AI best practices, governance, and ethical considerations Build business cases and communicate value to senior stakeholders Required Experience: Proven experience managing AI/ML implementation projects in a complex organisation Strong understanding of AI technologies, including machine learning, natural language processing, and automation tools Experience working in financial services or similarly regulated More ❯

and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical More ❯

and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical More ❯

and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical More ❯

data set giving one point of truth Clear understand business requirements and propose/implement complete solutions Create easy to understand and clear data visualisations Creation and maintenance of machine learning models Create and undertake testing procedures/policies using test-driven development methodologies Query writing/building System contingency planning and implementations A mathematics background with knowledge … of numerous machine learning models Experience with data visualisation tools Exceptional Microsoft Office skills Detail orientation with structured thinking A problem solver with the ability to multi-task A top performer who is comfortable in an unstructured environment which values initiative, creativity, maturity, poise and strong analytical skills A least a 2:1 degree in Computer Science, Mathematics More ❯

Collection Foundation team, we combine our diverse backgrounds, expertise, and problem-solving skills to research, develop, and enhance smart, automated tools that streamline sustainability data collection. We thrive on learning new things and tackling challenges together. Role description You will work on developing and maintaining data collection methods that are used to collect sustainability data. The team has developed … our product and software. A naturally outgoing personality who sparks conversations, values everyone's contributions to the bigger picture, and brings energy to team interactions and collaboration. Experience from machine learning, artificial intelligence and working with the current leading providers of cloud-based AI platforms. Solid experience from developing and hosting enterprise-grade software and services using Amazon More ❯

Will Do TetraScience is looking for a Technical Enablement Lead/Developer Relations Lead for the EU. The ideal candidate should have expertise in customer and field enablement, adult learning principles, educational program creation, use case architecture and implementation, and a genuine passion for Data and AI technologies. The candidate should be driven by a desire to educate and … be successful with minimal friction, and champion product and process changes that make this a reality. You will work to understand the needs of different user personas (data scientists, machine learning engineers, scientists and R&D IT analysts), analyze their data environment, assist in the design and implementation of self-service solutions, and create training artifacts to accelerate More ❯

environment. Additional skills that would be beneficial We heavily utilise Amazon Web Services so experience with AWS or similar is a bonus. Experience working with AI tools. Knowledge of machine learning models. Benefits At Kitman Labs we pride ourselves on being the best and working with the best, so it should be no surprise that we are also More ❯

At Cloud Bridge , we transform how businesses use AWS cloud services. We specialise in Consultancy, Managed Services, Cloud Governance, FinOps, and AI/ML to unlock AWS's full potential. Recognised as AWS's Rising Star Partner of the Year for 2023 in EMEA and 2022 in the UK&I, we're expanding globally with new offices in Australia, South More ❯

new product to enhance our large language models with speech-to-speech capabilities. This greenfield project offers a unique opportunity to help define its research direction and build the machine learning systems that will power it. We're seeking a data scientist with a strong research background in machine learning and a focus on speech or … research concepts into deployable features Contributing to improving the team's workflows to help foster a healthy, productive, and innovation-focused environment What We're Looking For? Background in machine learning or data science, ideally with a research focus (PhD or MSc with equivalent industry experience … Experience working with LLMs, speech technologies (ASR, TTS), or multimodal systems Strong programming skills in Python, with experience in using PyTorch Hands-on experience with training and fine-tuning ML models, including setting up experiments and evaluating results Ability to read, interpret, and implement techniques from recent academic papers into practical, working solutions Strong communicator, comfortable working across interdisciplinary teams More ❯

to progress into management if this is something you foresee in your career.The Data Scientist will work in the Insight Services team and be responsible for leading AI/ML and Data Science product development and research work, and supporting our multi-award winning AI product portfolio. The Data Scientist will: Undertake data collection, processing and analysis Build models to … sets to derive actionable insights and create clear, informative visualizations. Collaborate with cross-functional teams to understand business needs and provide data-driven solutions and recommendations. Continuously improve existing machine learning models and introduce innovative solutions that add value to the company's services. Ensure data quality and integrity throughout the data lifecycle. Stay informed on new technology … and how they can be leveraged within the company. Key Skills Proficiency in R programming language with hands-on experience in data analysis and model building. Strong understanding of machine learning, statistical analysis, and data mining techniques. Excellent problem-solving skills with the ability to handle multiple tasks under tight deadlines. Strategic thinker with outstanding communication skills, capable More ❯

on the lookout for improving systems and processes. You will join our product team with a focus on writing automated tests for our cloud products including artifical intelligence and machine learning Time is split as needed between university and work. We will ensure you get all the time you need to attend studies and complete course work. Key … technologies (e.g. Docker) Excellent problem-solving and communication skills Growth Path: This role offers opportunities to advance into senior Quality Assurance and QA Engineering roles. We support and encourage learning of all kinds. We will offer technical and skills based training throughout the apprenticeship and beyond and it is our hope that the successful candidate will wish to continue More ❯