14 jobs found

Ergonomist Broughton (Full Time On Site) Contract Role (Ending 31/12/26) Inside IR35 Belcan are currently working with one of the leaders in the Aviation industry and are supporting them in their search for an Ergonomist. The Ergonomics team is based in Broughton, and is a small team but is extremely influential within the manufacturing engineering department. It also has close working relationships with operations, design engineering and health & safety across the Plant for all variants of the commercial aircraft. The team focuses on optimising human working conditions and the overall system performance for both existing and new manufacturing tooling and processes. Responsibilities Influence product development in line with 'design for manufacture' principles Develop and drive strategic plans for ergonomic risk reduction interventions Identifying work related ergonomic risk factors at the workplace and propose solutions to mitigate risks Anticipation of risk, application of theory, principles, data and methods to enable design that will optimise human health and overall production system efficiency Application of national laws, Regulations and standards related to Human Factors and Ergonomics Support Human factor improvement projects with different stakeholders (Quality,H&S, design, prod, manufacturing engineering.) Defining how to integrate a User-Centered Design process, with an HOF systemic and systematic analysis Successful candidates will be able to demonstrate the following; Innovative mindset with creativity & strong analytical skills Self-motivated in managing personal time, goals and objectives Able to work autonomously, recognising when support is required and seeking advice when necessary. Arguing/influencing capacity in an" engineers" environment to defend end user's requirement modifications when needed Within this role your main tasks will include: Support building ergonomics action plans, suited to the industrial strategy and future evolutions, and validated it with the senior leaders Contribute to definition of specifications, call for tenders, and subcontractor piloting in the frame of Ergonomics related outsourced work packages on the specific site. Ensure with jigs and machine suppliers that ergonomics is considered. Develop solutions for risk and hazard reduction using a technical, organisational and a training approach Monitor international regulatory and scientific development for deployment and guidance. Ensure Ergonomics Tactical Implementation plan for the location is in place and maintained up to date. Ensure effective communication with the local Health and Safety representatives on Ergonomic associated matters. Required skills Educated to degree (or higher) level in Ergonomics/Human Factors (delivered by an accredited CIEHF higher education body) Accredited to (or demonstrated working towards) Registered Membership of the Chartered Institute of Ergonomics and Human Factors (CIEHF) or equivalent Knowledge education: Physiology (including work analysis, knowledge on human cognitive behaviours) Cognitive sciences and applied psychology as cognitive processes (cognitive workload, reasoning, learning, human error, work analysis) Good background on human factor sciences, work physiology, biomechanics, cognition. Experience in identifying ergonomics risk factors in the workplace (e.g. process, workflow, work organisation); proposing risk mitigation solutions to management Experience of all aspects of ergonomics including assessment of working methods, applicable standards, risk ratings, assessment tools, technical report writing and development of technical solutions. Experience in anticipating risk (e.g. new designs & processes) This vacancy is being advertised by Belcan

Data Science Manager Salary: 100K - 120K + bonus + benefits Location: London (Hybrid) At Data Idols, we are working with a major UK retail and consumer brand undergoing a significant data and AI transformation, placing advanced analytics and machine learning at the centre of commercial decision-making across the business. They are looking for a Data Science Manager to lead a high-performing team of Data Scientists focused on delivering measurable impact. This is a highly visible leadership role sitting at the intersection of data science, commercial strategy, and customer experience. The Opportunity As the Data Science Manager, you'll lead both the technical direction and people development of the team, helping shape the roadmap for how machine learning and advanced analytics are applied across the organisation. You will be responsible for translating complex analytical outputs into clear, commercially focused recommendations, helping establish best practices across experimentation, modelling, MLOps, and data science delivery, and supporting the long-term evolution of the organisation's AI and data science capability. This is a leadership role with real influence, balancing strategic direction with hands-on technical oversight where needed. Skills and Experience Previous experience leading or managing Data Science teams in a commercial environment Strong background in machine learning, advanced analytics, or statistical modelling Strong stakeholder management skills with the ability to influence senior leadership Experience delivering data science products and models into production environments If you are looking for a new challenge and want to work in a data-driven environment where your insight directly influences marketing and commercial performance, please submit your CV for initial screening and further details. Data Science Manager

Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master s or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27639 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post money valuation of $1.7 bn, the round makes us the UK's first EdTech unicorn. But we're not stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Portfolio Lead curates a world class UK apprenticeship product set focused on Data upskilling. Working as one of two dedicated leads within our Data vertical, you are a data literate strategist who isn't shy about your passion for how data literacy, machine learning and advanced analytics are reshaping the workforce. You have a deep understanding of the data tooling market, both now and how it will continue to evolve. Practically, you will own the roadmap and key performance metrics for a set of products, proactively scoping new UK releases to grow bookings and influencing cross organisational decisions on how to maintain and improve programme retention and quality as we scale. You are the technical point of contact for GTM discovery, often supporting complex deal structures or tooling partnership meetings to maximise alignment between our data products and client needs. You also deeply understand what effective, high impact learning looks like in a technical data context and will support our Admissions, Delivery, Learning and Technology/Product teams to evolve their processes as we launch new products or improve our existing offerings. As we release synchronous and blended learning models, you will be vital in quality assuring our products and supporting other members of the Learning team (such as Senior Programme Designers and Technical Learning Designers) to make the right choices to maximise learner engagement. What You'll Do Portfolio Strategy Data Product Roadmap: Own the development and iteration of a subset of our Data product offerings by analysing data (both internal and external) to improve net new bookings, customer retention and learner retention Market Alignment: Validate our assumptions and competitor analysis in the market in partnership with Product Marketing, shaping how we communicate technical value and competitor positioning Horizon Scanning: Stay ahead of the curve on data and tooling trends to identify new skills development pain points and opportunities Investment Validation: Support GTM, Finance and our Delivery teams to scope custom data offerings, balancing market potential against the technical investment required. Product Development, Launch & Iteration Learning Squad Management and Prioritisation: work collaboratively with stakeholders across the business to create compliant apprenticeship curricula which meet learner and client needs. Use data and insights (qualitative and quantitative) to identify and prioritise opportunities for growth and improvement, including managing the backlog and prioritisation of improvements for wider Learning team members and teams external to Learning Organisational enablement and readiness: support partners in Delivery, Admissions and Product to assess and enable the readiness of our systems and people to deliver a high quality learning experience Proactive Risk Mitigation: Identify and elevate risks across all levels in the organisation, including C Suite, to ensure products remain on track to hit quality benchmarks. Agile Feedback Integration: Establish and lead rigorous feedback loops for your products. You won't just "collect" feedback; you will find effective ways to synthesise what you are hearing from different sources including our own internal delivery teams, learners and clients Expert Credibility: Serve as the internal and external "voice" of the data practitioner, building trust with technical leaders and stakeholders at all levels What You'll Bring Data Domain Expertise: A strong background in data upskilling with an existing network of experts and sources you trust to help you stay at the cutting edge-you understand the difference between a data warehouse and a data lake, and you know which libraries or tools are currently (or soon to be) essential for the modern data stack in a range of customer types Product or Curriculum Launch Experience: Proven experience working with a broad cross functional group of stakeholders to launch learning products and their ongoing improvements Confident Written and Oral Communication at all levels: You switch with ease from talking about the technical specifications of a new learning lab environment, to effectively raising a risk with the SLT on product performance, to convincing a Chief Data Officer on the ROI your products bring to his business metrics. You actively enjoy thinking about how to influence these different stakeholders Ability to distinguish between signal and noise: You know how to make stakeholders feel heard whilst holding the line on what is right to prioritise and why. You effectively balance the need to improve learner experience with the practical realities of working with constrained resources A strong vision for applied learning: you strongly believe in the power of apprenticeship and applied learning models to supercharge the acquisition of data skills and you bring vision and expertise both internally and externally to how to do this effectively AI enabled practices: you are confident in building and using AI workflows to automate research, development and reporting tasks, and are excited about embracing AI to help you spend time on the tasks which most need your expertise Preferred Skills and Qualifications Relevant industry experience: work experience in a data aligned field such as Data Science, Analytics or Engineering Instructional Literacy: Experience with cohort based or online content creation, specifically within technical or professional training Regulatory Knowledge Experience working within regulated structures (e.g., UK Apprenticeship Levy) is a significant plus. Benefits Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company wide wellbeing days (M Powered Weekend) and 8 bank holidays per year Health & Wellness - private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month Work from anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year Space to connect - Beyond the desk, we make time for weekly catch ups, seasonal celebrations, and have a kitchen that's always stocked! Our Commitment to Diversity, Equity and Inclusion We're an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children's Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.

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.