1 to 25 of 40 Machine Learning Jobs in Manchester

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 »

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 »

We provide and develop the innovation initiatives across a large array of our audit clients. We do this through the implementation of robotics, AI, machine learning and advanced analytics tools, leveraging the best technologies currently on the market. The team works with audit clients and internal audit stakeholders … advise senior stakeholders on ways to automate and reimagine audits, implementing innovative technologies, such as Python, R, SQL, Alteryx, Power BI, Process Intelligence and Machine Learning. Building a strong understanding for the role data and analytics plays in the modern day audit. You’ll get to work on technical … assignments enabling you to develop skills in Advanced Analytics, Machine Learning, Data Engineering and sophisticated visualisation tools to provide clients with the PwC digital audit experience. This means that you’ll develop the technical, business and soft skills around the topic of data and analytics that our clients more »

have the opportunity to work on a variety of customer projects and will have a leading role when it comes to implementation AI and ML solutions. You will work as part of a close-knit and skilled team where you will have the opportunity to share best practice and help … To be successful in the role you will have. Strong experience developing machine learning models using Azure Machine Learning, Databricks ML and MS AI Studio Strong Python skills Experience with Generative AI and LLMs Experience of advanced machine learning techniques Experience with CI/ 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 »

that transforms their understanding of their customers. We do all this with our cutting-edge proprietary technology, utilising real time purchase data and AI learning to delight our members and maintain relationships with >200 retailers (including Boots, Aldi, Tesco, Greggs, Selfridges and Halfords to name a few!). It … engine to provide the most personal and relevant retailer offers to our members Creating forecasting models to better predict spending and app behaviour Use machine learning to help the business use its resources more efficiently Collaborating with cross-functional teams to develop solutions to business problems, including our … for data across the business, and help us to continue to build our internal and external reporting capabilities Requirements Experience in a range of machine learning techniques with hands-on experience of applying and implementing them to solve business problems Ability to take ownership of projects, and to 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 … to help businesses use artificial intelligence (AI) by understanding their needs, designing AI solutions, and implementing those solutions. BJSS AI specialists have expertise in machine learning, natural language processing, and other AI technologies. The successful candidate will provide: Expertise in machine learning, natural language processing, and … other AI technologies : possess in-depth knowledge and hands-on experience in machine learning, natural language processing (NLP), and other relevant AI technologies. Be familiar with various algorithms, frameworks, and tools used in these areas, including cloud-based AI services. This expertise enables to design, develop, and implement more »

Technology you'll work closely with our experienced team of Data Scientists to support the research and development of both traditional and cutting-edge machine learning algorithms for use with current and future product ranges. Whether you're researching, developing or implementing machine learning algorithms, you … Your Responsibilities: In a fast-paced environment that offers opportunities to create and to develop, our Data Scientists are applying all aspects of their learning while delivering against targets, supporting and improving the accuracy and performance of our validators and ensuring they can deliver in the field with real … working towards a degree in either Data Science, Mathematics, Computer Science or a similar related subject. Your Skills & and Experience: A superficial understanding of machine learning techniques and algorithms. Some experience of programming in Python, or similar associated tools. An excellent communicator who's analytically minded with a 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 »

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 »

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 »

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 »

full day paid to volunteer for a charity of their choice What will you do as a Senior Data Scientist at N Brown? Use Machine Learning to unlock opportunity and solve complex challenges across the organisation. Actively support our transformation in data to our new analytics platform and … data stories to bring your work to life to colleagues across N Brown. Work within an agile squad with a high level of autonomy, learning on your experience to help define, size and prioritise work.. Mentor colleagues and interns to aid them in their development and to raise knowledge … data community. What skills and experience will you have? A track record delivering successful commercial outcomes with Data Science. An excellent understanding of statistics, ML frameworks and algorithms. An excellent understanding of Python and SQL. Experience with cloud platforms (preferably GCP) and a modern tech stack. Excellent written and verbal 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 »

audience. Proven ability to influence outcomes and inspire confidence. A track record delivering successful commercial outcomes with Data Science. An excellent understanding of statistics, ML frameworks and algorithms. An excellent understanding of Python and SQL. Experience with cloud platforms (preferably GCP) and a modern tech stack. Our promise to you 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 »

will work alongside the best engineers in the world, making market-leading products for the planet’s most successful companies. With applications in mobile, machine learning, Internet of Things, automotive, security, and embedded devices, your ideas will make a difference and you will have the chance to lead more »

Key Responsibilities: Lead the development of new data & analytics capabilities in the cloud-based platform. Provide technical leadership and support for Data Science and ML Ops initiatives. Manage infrastructure, connectivity, and security of the data platform. Contribute to team standards, processes, tools, and documentation improvements. Skills and Experience: Minimum more »

for data modelling, storage and retrieval to ensure scalability, reliability and performance of business data infrastructure. Collaborating with data scientists and analysts to operationalise machine learning models and enable real-time data analytics for actionable insights. Working closely with stakeholders to understand business requirements, define data engineering solutions more »