10 jobs found

Production Operative All Roles Location : Buxton, Derbyshire, SK17 9RZ Salary : From £24,950.82 to £52,224.35 per annum, DOE and role applied for! Contract : Full time, permanent Shifts : Shift work to support a 24/7 operation 06.30-18.30 and 18.30-06.30 shifts Benefits: 25 Days of holiday plus Bank Holidays, Christmas shut down, Flu and eye test vouchers, Company Sick Pay Scheme (available after 12 months of continuous service), Refer a Friend Scheme of £500, Cycle to Work Scheme, Employee Assistance Programme, Employee Discount Platform Join Saica Flex Buxton Production Roles We re always on the lookout for solid people to join our Production and Warehouse teams at Saica Flex Buxton. This is manufacturing done properly , skilled roles, modern machinery, and a business that s serious about doing things the right way. Saica is one of the leading European players in the development and production of recycled paper for corrugated cardboard with a production of 2.5 million tons of paper. With more than 10,000 employees across Spain, France, Italy, Portugal, UK, Ireland, Turkey, Luxembourg, The Netherlands and The USA, Saica Group has four business divisions: recycled paper production for corrugated cardboard (PAPER), recyclable materials recovery (NATUR), production of corrugated packaging (PACK) and flexible packaging (FLEX). Sustainability at Saica begins with our values we care, we value and we challenge. Why Saica This is a proper manufacturing environment, with your Health and Safety being our core objective Strong focus on Health, Safety & Quality BRC, ISO and environmental standards embedded into daily work Continuous improvement, lean manufacturing, and right-first-time quality Part of a stable, growing group with long-term investment in people and equipment We recruit across all production areas, including: Lamination Operators Printers & Printer Assistants Ink Technicians Plate Mounting Operatives Slitting Operators and Core Cutters Warehouse Operatives Whether you re an experienced operator or looking to build long-term skills in manufacturing, we re interested in hearing from people who: Take safety and quality seriously Can work as part of a team on a shift-based operation Are hands-on, reliable, and take pride in doing the job right Are open to learning, improving, and supporting others What You ll Be Doing Depending on the role, you ll be involved in: Operating and setting production machinery Delivering right-first-time quality to specification Maintaining high housekeeping and hygiene standards Completing production and quality documentation accurately Supporting continuous improvement and waste reduction Working closely with colleagues across Production, QA, Maintenance and Warehouse Saica is an Equal Opportunities employer and welcomes applications from all suitably qualified candidates, so if you feel you have what it takes to be successful in this role then please click Apply and submit your up to date CV and covering letter for consideration. You must also have the right to work in the UK No agencies please.

Senior AI Engineer Manchester A growing technology-led business is seeking a Senior AI Engineer to play a pivotal role in shaping and delivering its AI strategy. This is a senior-level, hands-on position responsible for designing, building, and deploying enterprise-grade AI solutions that drive measurable business value across the organisation. Working closely with IT, Data, Engineering, and senior business stakeholders, you will lead the development and implementation of advanced AI solutions, leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Machine Learning, and Azure AI services. You will provide technical leadership, establish best practices, and help build the organisation s long-term AI capability. The business is investing heavily in AI and is looking for someone who can combine deep technical expertise with strategic thinking, taking solutions from concept through to production deployment and adoption. The ideal candidate will have a strong foundation in AI Engineering combined with a robust Data Science background, enabling them to develop, evaluate, and optimise AI solutions that deliver measurable business outcomes. This role would suit an experienced AI professional who enjoys solving complex business challenges, mentoring others, influencing technical direction, and delivering innovative AI solutions at scale. Role Purpose As a Senior AI Engineer, you will lead the design, development, deployment, and optimisation of enterprise AI solutions, ensuring they are secure, scalable, maintainable, and aligned to business objectives. You will act as a subject matter expert for AI technologies, helping to define architecture, establish standards, and guide the organisation s AI roadmap while remaining hands-on with implementation. Key Responsibilities Design, develop, and deploy advanced AI and Machine Learning solutions to solve complex business challenges. Lead the architecture and implementation of production-grade AI applications using LLMs, RAG pipelines, AI Agents, and Azure AI services. Provide technical leadership across AI initiatives, ensuring solutions follow best practices for scalability, security, performance, and governance. Own the full AI development lifecycle, from discovery and proof-of-concept through to production deployment and business adoption. Develop and optimise AI models, prompt engineering frameworks, vector databases, and retrieval systems. Design and implement AI agent architectures, workflow automation, and API integrations. Collaborate with Infrastructure and Engineering teams to deploy AI solutions securely within enterprise environments. Ensure solutions leverage Private Endpoints, secure networking, identity management, and enterprise-grade governance controls. Establish monitoring, evaluation, and observability frameworks for AI systems, including hallucination detection, model drift monitoring, performance tracking, and cost optimisation. Partner with operational and commercial stakeholders to identify high-value AI opportunities and define business cases. Measure and report on AI project outcomes, including efficiency gains, automation benefits, cost savings, and customer experience improvements. Mentor and support other technical team members, promoting AI best practices and knowledge sharing across the organisation. Contribute to the development of the organisation s AI strategy, roadmap, and future capability. Required Experience Essential Significant commercial experience in AI Engineering, Machine Learning Engineering, Applied AI, or Data Science roles. Expert-level Python development skills and deep experience with modern AI/ML frameworks and SDKs. Proven experience designing and deploying production-grade RAG solutions and LLM-powered applications. Strong experience building and deploying AI agents, orchestration frameworks, and automated workflows. Experience with Azure AI Services, Azure OpenAI, Azure Machine Learning, or equivalent enterprise AI platforms. Strong understanding of enterprise cloud architecture, including VNets, Entra ID, API Gateways, networking, and secure integrations. Experience deploying and managing AI workloads within production environments. Strong SQL and data engineering skills, working with both structured and unstructured datasets. Ability to translate complex datasets into actionable insights and AI-driven business solutions. Experience implementing AI governance, security, monitoring, and operational best practices. Excellent communication, leadership, stakeholder management, and problem-solving skills. Highly Desirable Strong Data Science background, with experience in statistical modelling, predictive analytics, feature engineering, experimentation, and model evaluation. Experience applying Data Science methodologies to solve complex business problems and identify opportunities for AI adoption. Experience with GenAIOps, LLMOps, MLOps, and AI observability platforms. Exposure to Computer Vision, OCR, Voice AI, Conversational AI, or multimodal AI solutions. Experience working within operational, retail, automotive, logistics, or customer-centric organisations. Knowledge of Responsible AI, AI governance frameworks, and regulatory considerations. Previous experience leading AI initiatives, mentoring engineers, or helping define AI strategy and roadmap. Experience building or contributing to an AI Centre of Excellence or internal AI capability function. What We're Looking For We're looking for someone who combines deep technical expertise with commercial awareness and a pragmatic approach to AI delivery. You'll be comfortable operating at both strategic and hands-on levels, engaging with senior stakeholders while also designing, developing, and deploying solutions yourself. You should be passionate about emerging AI technologies and have a track record of turning innovative ideas into production-ready solutions that create measurable business value. Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangement 3 days in the office / 2 days remote Opportunity to lead and shape enterprise AI capability Exposure to high-profile AI transformation initiatives Strong long-term career progression opportunities Ongoing investment in training, certifications, and professional development Interested? If you're an experienced AI Engineer or Data Science professional looking to take ownership of impactful AI initiatives and help shape the future direction of AI within a growing organisation, we'd love to hear from you. Apply now for the Senior AI Engineer opportunity in Manchester. Senior AI Engineer Manchester

Job Title: Business Support Assistant - Reception Location: Waterlooville, Hampshire Salary: Salary grade B1 24,796 - B3 25,128 FTE 27.5 hours Salary grade C1 25,186 - C5 26,244 FTE 10 hours Actual salary 21,845.57 - 22,307.83 Actual Job Type: Permanent, Full Time, 40 Weeks Per Year, Term-time only - 39 weeks plus 4 days Hours: 37.25 hours per week, 8.15am - 4.15pm Monday-Thursday and 8.15am - 4pm on Fridays (with 30 minutes unpaid lunch break each day) The Governors are seeking to appoint a motivated and enthusiastic Business Support Assistant - Reception. The successful candidate reporting to the Business Support Manager will be responsible for providing reception and administrative services to support the teaching and learning of the school. As a school receptionist, you serve as the first impression for students, parents, and visitors. This role allows you to create a welcoming and professional environment, ensuring that everyone feels valued and supported when they enter our school. If you are a Catholic, you will understand the distinctiveness of Catholic schools such as Oaklands and this will be attractive to you. You do not have to be a Catholic to work at Oaklands; the Governors welcome applications from candidates of differing faith backgrounds or none who can be supportive of the school ethos. Principal Responsibilities: Customer Service: Promote the image of the school in all contact with the outside world Act as the first point of contact for general parent/student/visitor enquiries, responding within standard procedures or referring the enquiry to an appropriate destination Perform reception duties in an efficient, professional and courteous manner Operate the main switchboard and refer enquiries to the appropriate destination Ensure all visitors comply with safeguarding guidelines and have the appropriate ID/DBS etc checks where appropriate Administration: Operate and have responsibility of a variety of standard office machines including a personal computer, signing in machine, franking machine and badge machine Order reception resources as required to include inventory rolls, stamps, signing in machine cards etc Enable WiFi connection to external visitors Oversee the collection of returned parcels as instructed by the budget holder Be point of contact for student exam certification collection in accordance with guidelines Tidy and maintain reception area Annual re-organisation of staff pigeonholes Produce admin packs at the beginning of the academic year for the Business Support Team Collection of exam paperwork as instructed by the exams officer Provide basic absence cover to attendance as required Basic administration support to the Careers Lead; data inputting, making/confirming appointments and calls, sending emails Basic administration support to DOE leaders, data inputting, booking camp, booking transport, sending emails and message reminders etc The duties above are neither exclusive nor exhaustive and the post holder may be required to carry out appropriate duties within the context of the job, skills and grade About you: Essential: GCSE (or equivalent) in English and Maths Good organisational skills Good time management skills Skilled at paying attention to accuracy and detail Excellent interpersonal skills, verbal and written Ability to form and maintain appropriate relationships and personal boundaries with children and young people Values and respects the views and the needs of children and young people Displays commitment to the protection and safeguarding of children and young people Ability to work in a Catholic School, sensitive to the ethos Excellent communication skills Ability to work under pressure Stamina, initiative and resilience Confidentiality and discretion Good Health Strong commitment to teamwork and partnership Desirable: Previous experience in a similar role Experience of working in an educational establishment (mixed comprehensive school) Experience of developing positive relationships with a range of different students Excellent I.T skills, including Microsoft Word, Excel and Teams Previous experience of working with schools' SIMS system Previous experience of working with schools' ClassCharts Understanding of the school's role in the Community Understanding of the core purpose of Oaklands Catholic School and Sixth Form College Ability to forge and maintain good relationships with staff and students Sense of humour Willingness to train as Fire Warden/First Aider Additional Information: Please note all staff will be required to complete and obtain a clear Enhanced DBS. All applicants must evidence Right to Work. Closing date: Sunday 28th June 2026 5pm Interviews: Week commencing 1st July 2026 Please note that once you have applied for the role you will be sent an email with an application form to fill in. This form will need to be fully completed and returned for your application to be considered. Please click the APPLY to submit your application for this role and you will be sent an email with application forms to complete. Candidates with experience of Business Admin Assistant, Office Administrator, Administrator, Customer Support, Customer Service Administrator, Administration Clerk, Education Administrative Assistant, Business Support, may also be considered for this role.

Senior Machine Learning Engineer - Behavioural Modeling & Threat Detection - £150,000 - £180,000 - Fully Remote UK BASED CANDIDATES ONLY My client is looking for an experienced Machine Learning Engineer ready to play a pivotal role in shaping the technical direction of their behavioural modelling and threat detection systems. This position offers the opportunity to influence not just their engineering roadmap, but how they fundamentally approach solving complex, real-world security challenges with data. You'll work at the intersection of data science, ML infrastructure, and product innovation, leading efforts to build and evolve ML-driven capabilities, while also ensuring the reliability and scalability of their models in production environments. What You'll Do Spearhead the design and refinement of machine learning models focused on understanding behaviour patterns and identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML-powered features into production. Continuously assess and iterate on production models, balancing long-term ML strategy with tactical improvements. Champion code quality, observability, and resilience within their ML systems through reviews and hands-on contributions. Help shape their internal ML standards and practices, ensuring they stay ahead of industry advancements. Offer technical mentorship and be a thought partner to colleagues across data, ML, and engineering disciplines. What We're Looking For Hands-on experience in developing and deploying machine learning models at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability to work across data infrastructure, from SQL to large-scale distributed data tools (Spark, etc.). Strong written and verbal communication skills, especially in cross-functional contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform proficiency (AWS, GCP, Azure). If this sounds like something you would be interested in, please apply with your latest CV, a number to reach you on and I will be in touch. Alternatively, you can email me at . RSG Plc is acting as an Employment Agency in relation to this vacancy.

Head of AI & Machine Learning London (Hybrid - 2 days on-site) £180,000 base + equity + bonus The Opportunity I'm working with one of the UK's most exciting AI scale-ups, a forward-thinking business that's just secured a significant Series B funding round. They're building cutting-edge, applied AI technology that's already making a real impact across industries, and now they're looking for a Head of AI & Machine Learning to lead the next stage of growth. This is a chance to step into a senior leadership role where you'll shape the entire AI strategy and grow and inspire a high-performing team The Role As Head of AI & Machine Learning, you'll sit on the senior leadership team and play a pivotal role in setting the technical direction of the company. This role blends hands-on technical expertise with strategic leadership. You'll: Own and drive the AI/ML strategy across the organisation. Lead and scale a world-class team of data scientists and ML engineers. Guide research and development of advanced machine learning and generative AI solutions. Partner with product and engineering teams to deliver AI-driven features into a rapidly scaling platform. Keep the company ahead of the curve on emerging AI trends and represent them externally as a thought leader. What They're Looking For A proven leader with experience heading up AI/ML teams in a high-growth tech environment. Deep technical expertise across machine learning, deep learning, and ideally generative AI. Strong ability to combine strategy with execution, from setting vision to delivering production-grade AI systems. Excellent stakeholder skills, with experience working closely with product and engineering leaders. A passion for building teams, driving innovation, and scaling applied AI solutions. What's available £180k+ salary with equity upside. Backed by top-tier investors, huge runway for growth. A platform with global ambitions, scaling fast. Hybrid flexibility (2 days a week in central London). RSG Plc is acting as an Employment Agency in relation to this vacancy.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Data Science practice at Sky Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing, customer interactions and customer services at Sky. In the Advanced Analytics team, w e are scaling up our data science practice to transform how we manage customers across all life cycles for both experience profitability. We have built and successfully deployed intelligence into Sky and are already delivering realisable value into the business. We gather a very large amount of data on customer behaviours and interactions and are looking for data scientists to extra ct value from our data assets and maximise customer value. What you'll do: Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms : work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience . Designing and implementing innovative and commercially led data science and insights roadmaps with stakeholders (marketing, retention, service, finance) to improve the way they make decisions: hypotheses-led problem solving to deliver solutions to business problems . Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology partnerships with our vendors, training and developing our people and creating a world class data science team at Sky Engage with key stakeholders (marketing, retention, service, finance) to understand business objectives and support these objectives through best use of advanced analytics approaches. Responsible for identifying the best analytical techniques, developing the solution, creating a fram ework for testing the solution and measuring the incremental value to the business from the solution What you'll bring: Expertise in multiple advanced analytical areas including Forecasting, Predictive Modelling, Optimisation, Clustering or NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environmen t Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholder s are essential Commercial knowledge and applications of data science to drive commercial value is a must - everything we do drives value into the business Proven expertise in leading the development and deployment of big data solutions on Cloud platforms (essential) Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Role : Data Analyst Location : Nantgarw, Cardiff - 3 days per week onsite Salary : £30 per hour via umbrella Length : 12 months with potential for extension Role Summary/Purpose Me client is a digital industrial business with its ability to harness large streams of data that are providing incredible insights and in turn, real operational value for customers. We are seeking a highly motivated individual to contribute to our digital future. You will work within the Sales, Inventory & Operations Planning Team to develop and apply algorithms to transform raw data into actionable insights. As the Data Analyst you will possess analytical skills, a structured approach to problem solving, and statistical knowledge. Our job is to work alongside the business to develop, test and deploy analytics or software which provide significant insights and improvements to the business. We also develop custom in-house tools to help us deliver our projects efficiently and effectively. We support a wide range of internal customers and every project is different and gives the opportunity to learn something new.? Responsibilities Include: Support with the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Collaborate across the business to identify and define new data & reporting requirements with the aim of delivering value adding insight and consistency across the teams. Facilitate embedding a self-service capability for operational business users including automating as far as possible to reduce manual intervention and drive efficiency across the business. Support analytics systems including the development and maintenance of systems, processes, and algorithms. You will contribute to the integration, enhancement, and deployment of our analytical suite to give our leadership visibility of how the business is performing to make timely, data-driven decisions. Support with capacity modelling, maintain and develop new and existing forecasting demand models based on business insights research & analysis Owning a project; build engagement, influence relevant stakeholders, and deliver change Work closely with Lean and Operations teams, playing a crucial role in our journey to operational excellence Participate and support digitisation projects Research and implement new statistical, machine learning and optimization approaches. Understand best practice and keep up to date with trends, new technology and competitor advances. Qualifications/Requirements Bachelors degree from an accredited university of college, or equivalent knowledge and experience (Mathematics, Statistics, Operations Research and/or Data Science). Highly proficient in Microsoft Office tools including Excel and PowerPoint Proven experience with SQL Flexible and resilient to respond constructively to new challenges Self-starter able to operate autonomously with minimal guidance to consistently achieve high quality output Detail-oriented, while also constantly prioritizing needs with resources available; able to support multiple projects and/or business functions at once Excellent communication skills, interacts with multiple levels and functions with the distribution organization, and able to manage relationships Able to thrive in a small core team and frequently interact with cross-functional teams Strong knowledge in statistical modelling Ability to translate complex datasets to understandable trends and market patterns using data visualization & analytics tool such as TIBCO Spotfire, Tableau, PowerBI or similar Desired Requirements Master's degree in any discipline (Business, Data Science, Mathematics, Statistics, Operations Research or related field) preferred Proven experience working on OR problems in industrial manufacturing companies Proven experience in simulation modelling Familiar with machine learning concepts, methods, and tools Understanding and working knowledge of capacity & supply chain planning Working knowledge of programming/scripting languages (Python, R, or similar)

A rare chance to take on a global ML leadership role in a high growth SaaS analytics company in London, where machine learning is central to product and strategy. The Opportunity This is a chance to lead the development of sophisticated machine learning systems that deliver Real Time, mission critical insights for clients around the world. You'll tackle some of the most complex challenges in Real Time analytics and forecasting, driving innovation and delivering real world impact across global markets. This isn't just any ML leadership role. You'll work with vast, complex datasets and deploy models with stringent latency requirements. You'll be empowered to build an architecture that blends innovation with operational excellence, leveraging everything from tree based models and advanced neural networks all accelerated by the latest GPU and cloud technologies. You'll head up a high calibre, multidisciplinary team dedicated to advancing machine learning capabilities, turning complex data into actionable insights that empower decision making at the highest level. The Company This is a modern, globally recognised SaaS company operating at the forefront of data analytics. With a strong focus on innovation, they deliver high value insights to clients making fast, high stakes decisions in complex markets. The business has built a deeply technical, forward thinking engineering culture where machine learning isn't just a function, it's a core capability. Actively leading the way in applied ML development, they invest heavily in modern tools, infrastructure, and talent to stay ahead of the curve. Why this role? * Own the full machine learning life cycle from research to Real Time production at scale. * Solve complex challenges involving ultra low latency, distributed inference, and continuous model optimisation. * Work with state of the art tooling and platforms in an organisation that invests heavily in innovation. * Lead a team passionate about experimentation, rigor, and rapid iteration in a collaborative environment. * Have a seat at the table with senior stakeholders and global clients, influencing the direction of the business and technology. Who you are: * A seasoned machine learning professional with experience leading teams and delivering production ML systems in demanding environments. * Expert in diverse modelling techniques, including tree based models, advanced neural networks and hybrid models. * Skilled in optimisng ML for Real Time serving think quantization, pruning, and distillation. * Proficient with modern MLOps practices and tooling, handling everything from model governance to scalable deployment pipelines. * Comfortable working hands on with Python, GPU acceleration, and distributed computing frameworks. * A confident communicator and collaborator, able to bridge technical innovation with business impact. The offer: You'll receive a highly competitive salary plus bonus opportunity and a comprehensive benefits package including private healthcare, enhanced pension, generous annual leave, and wellbeing support. The role offers flexible hybrid working, with just two days per week onsite in a modern East End office. It's a unique opportunity to lead machine learning within one of the most advanced SaaS analytics platforms operating today where you will play a critical role in shaping word class machine learning capabilities. If this sounds interesting, please apply or reach out to Murray Simpson.

A rare chance to take on a global ML leadership role in a high growth SaaS analytics company in Edinburgh, where machine learning is central to product and strategy. The Opportunity This is a chance to lead the development of sophisticated machine learning systems that deliver Real Time, mission critical insights for clients around the world. You'll tackle some of the most complex challenges in Real Time analytics and forecasting, driving innovation and delivering real world impact across global markets. This isn't just any ML leadership role. You'll work with vast, complex datasets and deploy models with stringent latency requirements. You'll be empowered to build an architecture that blends innovation with operational excellence, leveraging everything from tree based models and advanced neural networks all accelerated by the latest GPU and cloud technologies. You'll head up a high calibre, multidisciplinary team dedicated to advancing machine learning capabilities, turning complex data into actionable insights that empower decision making at the highest level. The Company This is a modern, globally recognised SaaS company operating at the forefront of data analytics. With a strong focus on innovation, they deliver high value insights to clients making fast, high stakes decisions in complex markets. The business has built a deeply technical, forward thinking engineering culture where machine learning isn't just a function, it's a core capability. Actively leading the way in applied ML development, they invest heavily in modern tools, infrastructure, and talent to stay ahead of the curve. Why this role? * Own the full machine learning life cycle from research to Real Time production at scale. * Solve complex challenges involving ultra low latency, distributed inference, and continuous model optimisation. * Work with state of the art tooling and platforms in an organisation that invests heavily in innovation. * Lead a team passionate about experimentation, rigor, and rapid iteration in a collaborative environment. * Have a seat at the table with senior stakeholders and global clients, influencing the direction of the business and technology. Who you are: * A seasoned machine learning professional with experience leading teams and delivering production ML systems in demanding environments. * Expert in diverse modelling techniques, including tree based models, advanced neural networks and hybrid models. * Skilled in optimisng ML for Real Time serving think quantization, pruning, and distillation. * Proficient with modern MLOps practices and tooling, handling everything from model governance to scalable deployment pipelines. * Comfortable working hands on with Python, GPU acceleration, and distributed computing frameworks. * A confident communicator and collaborator, able to bridge technical innovation with business impact. The offer: You'll receive a highly competitive salary plus bonus opportunity and a comprehensive benefits package including private healthcare, enhanced pension, generous annual leave, and wellbeing support. The role offers flexible hybrid working, with just two days per week onsite in a modern Edinburgh city centre office. It's a unique opportunity to lead machine learning within one of the most advanced SaaS analytics platforms operating today where you will play a critical role in shaping word class machine learning capabilities. If this sounds interesting, please apply or reach out to Murray Simpson.

We are currently seeking a Lead AI Engineer to work with our public sector client 6 months contract £700 - 750 inside IR35 Location: London Bristol or Manchester / Hybrid / Flexible on remote working The ideal candidates will have a proven Artificial intelligence engineering background within public sector ideally holding active SC clearance or have government project experience Skills & responsibilities: Ideating and developing one or more AI projects. These could be fully-fledged internal applications the incubator is building. Alternatively, they might be services we're building for the government's biggest missions in collaboration with other departments, where we work closely with technical counterparts. Writing and reviewing code daily. Collaborating with cross-functional teams and senior stakeholders to quickly understand customer needs and translate them into pragmatic technical solutions leveraging AI. Leading the design and establishment of frameworks, tools and processes to responsibly develop, deploy and monitor AI products. Evangelising best practices in applied AI across government. Staying on top of the latest developments in AI, including new models and paradigms. Proficiency in Python. An understanding of deploying and monitoring such systems in a cloud environment. Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI. Nive to have: Building AI agents, or products that rely on AI agents Developing and working with tools and interfaces for AI applications (e.g. Anthropic's Model Context Protocol) Training traditional Machine Learning and Deep Learning models Hands-on experience with containerisation technologies such as Docker. Experience designing software services with respect to infrastructure, considering dependencies like databases and message queues, cloud environments, and pre-existing services with which yours must collaborate. Proven ability to collaborate with "non-engineering" disciplines, such as design and user research, to plan and deliver work of provable value as part of a product team, including prioritising, breaking down and sequencing technical work to achieve the best possible outcomes.