1 to 25 of 50 Machine Learning Jobs in the North West

Data Science & ML Consultant Location : Manchester – Hybrid Employment : Full Time All applicants must hold a DV (Developed Vetting) clearance to apply. The Opportunity : For the Ministry of Defence (MOD), maintaining national security is a 24-hour-a-day, 365-day-a-year mission. For this reason, it partners with this … Big 4 Firm to support its multidisciplinary Data Science and Machine Learning team within DSSV (Data Science, Simulation and Visualisation). The Teams work together to drive innovation and insight from data, using cutting-edge Data Science and Machine Learning techniques alongside Digital Transformation to solve … pitching data science projects. Required Skills/Experience : • British Passport Holder with active DV (Developed Vetting Clearance) • Hands-on experience applying data science/machine learning in Defence/Security, public sector, or academia. • Understanding various machine learning models: Transformers, CNNs, regression, vector embeddings. • Ability to more »

solutions company seeks a Machine Learning Software Engineer to join their established AI team. Python, AI, Machine Learning, NLP, Linux. ML Learning Engineer – the company and role: It’s a great time to join the team. The company delivers a range of enterprise level solutions. … multi-discipline team, focusing on complex, large scale AI projects, this exciting new role will see you specifying, designing, developing and testing in Python. 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) Data Wrangling Systems: Linux, APIs, infrastructure design – load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer – desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud – AWS, Google Cloud, Azure, and a more »

You will be joining a talented, high-performance team working on a cutting edge conversation AI system with a history of delivery. As a machine learning engineer on the team, we are looking for someone who can help us keep up this pace and continue delivering high quality … as we grow. About the Role The Roku Voice Service team is looking for a senior software engineer machine with experience building machine learning systems in one or more of the following areas: artificial intelligence, natural language understanding, machine learning, conversational systems and building large … scale production systems. What you'll be doing Design and developing machine learning driven cloud systems with high availability and high-performance Orchestrate and serve machine learning pipelines to handles voice queries, speech recognition, natural language understanding, search, and dialog systems at scale You will be more »

of advertising and sales needs. As the Head of Machine Learning, you'll be imparting your skills on 3 developers in the ML area, with potential to bring over and cross-train an additional 2 from the business' core backend engineering team. Whilst no day-to-day will … be the same, you're core activities will revolve around: Working with company leaders to set and align AI/ML strategy Working with the ML Team, taking skills from near-infancy to advanced levels; nurturing and developing core capabilities Keeping up to date with the latest AI/ML … go-to in terms of technical prowess Key skills needed: Strong skills in Machine Learning - both LLM and NLP Proficient experience in ML Ops Experience in Python, PyTorch, Django and/or Flask C++/C language exposure is beneficial For more information on the role, don't more »

rapidly evolving AI and ML. On a daily basis you will be working with clients to implement large language models, deploying end-to-end Machine Learning pipelines, or carrying out … training and certifications to further develop your skills within emerging technologies. Generally your responsibilities will include: Building Machine Learning models utilising Databricks ML, MS Azure ML and MS AI Studio. Developing your interest and understanding of LLM's. Applying data science and ML operations, methodologies and principles. . … within a challenging environment on cutting-edge projects. From a technical perspective you should have experience with the following: Generative AI & LLM's Azure Machine Learning Python Deep Learning Frameworks Deployment options for Machine Learning CI/CD pipelines Agile methodology If you are interested more »

projects alone or with other data scientists, using analytical tools and environments to develop and deliver data science products including processing pipelines, interactive dashboards, machine learning models, as well as carrying out statistical analysis and deriving valuable insight. You will get the opportunity to work closely with customers … and business experts to scope and design the most effective and appropriate offers to solve their problems. Current and past tasks range from using machine learning to extract causality for road collision severity, to visualising and mapping insights; using computer vision AI techniques to extract information from raster … communication skills with the ability to tell compelling stories and adjust style to suit clients/stakeholders with varied technical knowledge A passion for learning new technologies and an interest in the Transportation, Environment or Energy sectors Bachelor’s degree in Computer Science, Applied Mathematics, Statistics, Engineering, or related more »

database technologies focusing on GCP Relevant prior data architecture experience; Leading or being part of transformation in Data (e.g., move to advanced analytics/machine learning, data lake, big data, data democratisation) Data modelling and how that can help accelerate reuse of data and delivery of data consumption … use cases Modern data technologies understanding e.g. Machine Learning and Generative AI Experience with data management capabilities like metadata, lineage, data quality, data privacy and data lifecycle management Familiarity with data regulations like GDPR We also offer a wide ranging benefits package, which includes: A generous pension contribution more »

decisions within and assist in the implementation and operation of the security, cyber, risk and control management framework. Be part of the broader Data & Machine Learning engineering leadership team driving and supporting initiatives outside the core Lab and Platform as part of the leadership and engineering community Hire … as well as coaching and mentoring colleagues to enable them to reach their full potential. Essential skills and experience: Strength in collaboration as Data & Machine Learning Platform requires its Labs and Programmes to collaborate in building end-to-end Data products and services across LBG; so, collaboration needs more »

client base and products expand. **Responsibilities:** - Analyze complex datasets using advanced analytical and statistical methods to uncover trends, patterns, and relationships. - Develop and deploy machine learning models for predictive and prescriptive analysis. - Create algorithms and statistical models to optimize data analysis. - Collaborate with engineering and product teams to … models based on feedback and real-world performance. - Stay updated with the latest industry trends and advancements in data science. **Preferred Qualifications:** - Experience deploying machine learning models in production. - Familiarity with cloud platforms, particularly AWS. - Knowledge of data visualization tools. - Exposure to natural language processing (NLP) or computer more »

decisions within and assist in the implementation and operation of the security, cyber, risk and control management framework. Be part of the broader Data & Machine Learning engineering leadership team driving and supporting initiatives outside the core Lab and Platform as part of the leadership and engineering community Hire … as well as coaching and mentoring colleagues to enable them to reach their full potential. Essential skills and experience: Strength in collaboration as Data & Machine Learning Platform requires its Labs and Programmes to collaborate in building end-to-end Data products and services across LBG; so, collaboration needs more »

they’ve launched 3 new SaaS products, with plenty more pipelined for the next 6-12 months including multiple options bringing together AI and Machine Learning Solutions. Within the role itself, you’ll be instrumental in generating operational and client insights through data intelligence. Their goal is to … exceptional opportunity to drive meaningful change. What You'll Do: Preparation and Analysis: Collaborate to gather quality datasets, evaluate data, and derive actionable insights. Learning Modelling: Develop and implement models for complex challenges using statistical analysis and validation techniques. Work closely with teams to understand business needs and deploy … tackle complex issues. Document methodologies, experiments, and results to ensure transparency and facilitate knowledge sharing. What you’ll need to bring experience of: Python Machine Learning Libraries (PyTorch, TensorFlow) NumPy/Pandas Matplotlib SQL database This role is hybrid in Manchester 1-2 days onsite per week, please more »

they’ve launched 3 new SaaS products, with plenty more pipelined for the next 6-12 months including multiple options bringing together AI and Machine Learning Solutions. Within the role itself, you’ll be instrumental in generating operational and client insights through data intelligence. Their goal is to … exceptional opportunity to drive meaningful change. What You'll Do: Preparation and Analysis: Collaborate to gather quality datasets, evaluate data, and derive actionable insights. Learning Modelling: Develop and implement models for complex challenges using statistical analysis and validation techniques. Work closely with teams to understand business needs and deploy … tackle complex issues. Document methodologies, experiments, and results to ensure transparency and facilitate knowledge sharing. What you’ll need to bring experience of: Python Machine Learning Libraries (PyTorch, TensorFlow) NumPy/Pandas Matplotlib SQL database This role is hybrid in Manchester 1-2 days onsite per week, please more »

This agency provides strategic search solutions to the buy-side industry in trading, quantitative trading, machine learning, and technology. They have a global team of knowledgeable, highly networked industry-leading head-hunters in the US and London. Their intimate understanding of their specialist industries provides optimal results to … fast track career progression. We are leading bespoke recruitment, sales, and industry knowledge training. High-value market placement value. Working with the latest AI & Machine learning CRM Platform. Extensive training provided. Resources available that result in successful placements. Market-leading commission structure and incentives. A collaborative culture people more »

the availability of our platforms within our in-service operations - now and on future platforms. Activities could range from areas such as AI and machine learning, autonomy, mixed reality, advanced sensors, through to digital twin representations of our platforms and operations. Key to our In-service Support technology … delivery of solutions Essential Skills; Previous involvement in developing and delivering technology related programmes of work Awareness of key technology areas such as AI, Machine Learning, Mixed Reality and Autonomy Excellent communication and stakeholder management skills Critical thinking skills, with an eye for detail and ability to derive more »

Classification & Image Processing techniques on existing models to detect what the video data is showing. Work closely with the models' team to specify required ML models and enhance existing ones. Develop additional logic layers to optimize model performance and accuracy. Conduct end-to-end testing to ensure successful solution deployment … in real-life customer environments. The Ideal Candidate with have experience within: Solid understanding of Machine Learning and Deep Learning concepts … particularly in computer vision. Proficiency in Deep Learning frameworks such as PyTorch, TensorFlow, or OpenVino. Strong programming skills in Python, with experience in ML/CV environments (Numpy, OpenCV). Familiarity with Linux operating systems and Git processes. Excellent communication skills, both written and oral, with a positive and more »

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 more »

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 more »

Cloud Functions Cloud Storage Pub/Sub IAM Management Looker Data Studio Coding experience with Python/Javascript/C# Familiarity with statistical/machine learning/AI concepts and techniques Understanding of data pipeline/orchestration tools e.g. dbt, dataform Appreciation of GCP’s serverless technologies e.g. more »

a week. As well as coding of new bespoke applications, work will also involve suggesting and integrating new and appropriate technologies e.g. data visualisations, machine learning and AI Key Skills the Senior Software Engineer will have: Extensive experience being involved in Software Development projects (8+ years experience) Previous more »

s degree in computer science, software engineering, or a related field - or equivalent experience in industry Knowledge of AI technology including Generative AI and Machine Learning. Proficient in cloud computing technologies such as Microsoft Azure. Full Stack Software Development Advanced knowledge of C# and dotnet. JavaScript and related client … applications/technologies. Microsoft SQL Server T-SQL programming and Relational Database design A passion for the researching and using emerging technologies e.g. RPA, Machine Learning, AI. DevOps Release and Deployment – including source control, continuous integration, and automated build technologies. Software Development Lifecycle toolsets (e.g. Azure DevOps/ more »

years in a leadership role. Technical Skills: Proficiency in BI tools (e.g., Tableau, Power BI), SQL, and data modeling. Knowledge of advanced analytics, including machine learning and AI, is a plus. Communication: Excellent verbal and written communication skills, with the ability to present complex data to non-technical more »

bear the load of our ever expanding, data driven business Develop and maintain data models, ETL processes, and data warehousing solutions to support analytics, machine learning, and reporting Ensure data security and compliance with industry regulations and best practices Identify, analyse, and resolve data-related issues to improve … ensure that our data infrastructure remains cutting-edge and efficient Mentor and provide guidance to junior data team members, fostering a culture of continuous learning and improvement. Qualifications Components for success. You... Have extensive experience in data engineering with a proven track record of designing and implementing large-scale … skills in English, allowing you to deliver complex information clearly to your colleagues Thrive in a culture that values... Empowerment, support, and mentoring Constant learning and development opportunities Active lifestyle and mental well-being Fun company events Additional Information HOW TO APPLY? In addition to your CV, please add more »

in-class data team capable of supporting the growth of our organization and providing actionable insights. Evaluate and recommend new technologies, including AI and ML, to enhance data quality, improve decision-making, and drive innovation. Ensure strategic alignment across Business Intelligence, Engineering, and Data Science teams, fostering collaboration and best more »

If so, we have an exciting opportunity for you! Our client: Our client are an established technology house that deliver a range of AI, ML and HPC solutions to a range of businesses within the higher education, scientific, research and development, and a host of enterprise based firms. They are 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 »