14 jobs found

We re AND-E one of the fastest-growing insurance companies leading the way in connected mobility protection. And we need you to help drive our next phase of growth. We re looking for dynamic, driven professionals like you to help evolve our business in new directions. You ll need first-class leadership credentials to bring our people with you on this journey and take us to the next level. You ll be a Lead Machine Learning Engineer. The role will combine technical leadership, delivery leadership and line management responsibility for ML engineers within Aioi R&D Lab. It will help shape ML engineering best practice, support solution design, mentor junior engineers, and lead multidisciplinary teams across delivery engagements. In addition to this leadership responsibility, the role will make a meaningful hands-on contribution to technical delivery, acting as a part-time individual contributor on selected projects while providing oversight, coordination and quality assurance across multiple initiatives in parallel. The role will also lead use case discovery, support pre-sales opportunities in collaboration with the commercial team, oversee the ongoing maintenance and improvement of deployed solutions, promote reuse of shared frameworks, and ensure technical decisions, risks and concerns are communicated clearly to non-technical stakeholders. We are happy to consider candidates who prefer hybrid or remote ways of working. If you d like to be part of our brighter future, and share in our success, we d love to hear from you. BE THE NEXT BIG THING, NOW. Responsibilities Line manage and develop ML engineers, providing coaching, mentoring, feedback and performance support; contributing to hiring, onboarding and capability development within the ML engineering function. Maintain a meaningful individual contribution to technical delivery on selected projects, alongside leadership responsibility across multiple engagements. Collaborate with the Lead ML Scientist and Principal Engineer to establish and embed best practice in ML engineering across the Lab. Lead multidisciplinary teams of ML engineers A1.1 A1.2 , ML scientists and software engineers, ensuring effective delivery practices, team communication and continuous improvement. Mentor and develop junior ML engineers, including supporting their technical training and the ongoing development of ML engineering capability across the Lab. Support solution design and provide technical leadership to ensure ML systems are robust, scalable and maintainable. Provide oversight, coordination and quality assurance across multiple concurrent projects, identifying and managing technical and delivery risks across engagements, escalating where appropriate. Contribute hands-on to delivery where required, particularly on complex or high-priority engagements. Lead use case discovery and help shape AI and ML opportunities with relevant stakeholders. Support pre-sales activity in collaboration with the commercial team, including technical scoping and solution shaping. Partner with the Project Management function to scope, plan and support delivery engagements. Oversee the maintenance and continuous improvement of deployed solutions. Drive reuse of shared frameworks, standards and tooling across projects. Communicate technical decisions, risks and concerns clearly to non-technical audiences. Knowledge, Experience and Qualifications Essential • PhD or MSc in Computer Science, Mathematics, Statistics, Engineering, Physics or another relevant STEM discipline, or equivalent practical experience. • Extensive years of experience in machine learning engineering, software engineering, or a related technical role, including experience delivering production-grade ML systems and leading technical work across teams or projects. • Strong software engineering background, with experience building and delivering machine learning or data-driven systems in production or near-production environments. • Experience leading or managing machine learning engineers or other technical contributors in a delivery-focused setting. • Experience supporting pre-sales, technical discovery or opportunity shaping in collaboration with commercial or business development teams. • Ability to provide technical leadership across solution design, engineering quality, deployment approaches and ongoing maintenance of ML-enabled systems. • Experience working across the lifecycle of AI or ML solutions, from use case discovery and scoping through to delivery, deployment and continuous improvement. • Strong understanding of engineering best practice, including code quality, testing, documentation, maintainability and reuse. • Experience working collaboratively in multidisciplinary teams, including ML engineers, ML scientists, software engineers, project managers and non-technical stakeholders. • Experience with cloud platforms, CI/CD, containerisation, model deployment and operational support for production systems. • Ability to communicate technical decisions, risks and trade-offs clearly to both technical and non-technical audiences. • Strong problem-solving, prioritisation and judgement in ambiguous, fast-moving environments. • Experience contributing hands-on to technical delivery while also leading multiple projects or workstreams in parallel. Desirable • Experience establishing or embedding best practice in ML engineering, software delivery or MLOps within a team or function. • Experience in regulated, enterprise or operationally complex environments. • Experience promoting reuse through shared frameworks, tooling, templates or engineering standards. • Experience supporting maintenance, supportability and continuous improvement of deployed AI or ML solutions. Why Join Us? We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else so here s what you can enjoy about AND-E: Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work-Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported including embracing neurodiversity and providing the tools needed to thrive. We like to think our benefits package is one of the best, focusing on colleagues health, wealth, and lifestyle. We offer: 28 Days annual leave with the option to buy/sell up to 5 days holiday Private Medical & Permanent Health Insurance 4 x Annual salary Life Assurance Health and Wellbeing Benefits: Including money back on health-related expenses (optician, dental, physio, etc.), Flu Jab vouchers, Virtual GP service, Employee Assistance Programme, and enhanced family-friendly policies (baby bonus & pension advisory service) Financial and Lifestyle Support: Offers financial flexibility through Wagestream , annual season ticket loans , cycle scheme , and £250 towards driving lessons for you and dependents . Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics) At AND-E, equal opportunity is more than a policy it s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We re committed to making the process accessible and are happy to help.

Embedded Machine Learning and Real-Time Sensor Classification Introduced by: KO2 Embedded Recruitment Solutions Client Location: Edinburgh Salary: 60,000 to 70,000 per annum The Opportunity Our client is building the next generation of real-time detection systems that operate at the edge of the network, where connectivity is unreliable and power is constrained. Their vision is straightforward and radical: machine learning models that run on embedded devices, processing sensor data in the field, making instant decisions without relying on cloud infrastructure or continuous data transmission. This is not a supervised learning problem on tabular business data. This is not model serving from a GPU cluster. This is embedded machine learning in its most demanding form: taking sophisticated sensor-based classification systems and making them run reliably on devices with megabytes of RAM, in real-world environments where data is noisy, conditions are uncontrolled, and failure is not an option. The client is at the frontier of what embedded ML can do. Most organisations are still building cloud-first systems. They are building ground-truth systems: devices that operate autonomously, make decisions in real time, and remain reliable under the constraints that define actual field deployment. The Challenge The engineering challenge is significant. You will be responsible for the complete lifecycle of machine learning models that run on embedded devices. This means: From Sensor to Deployed Device. You will work with raw sensor data streams from physical devices operating in uncontrolled environments. This data is not clean. It carries noise, calibration drift, temperature sensitivity, and the unpredictable behaviour of systems deployed in the real world. Your job is to transform this stream into a robust, real-time classification model that runs on hardware with severe constraints on memory, computation, and power. Engineering Under Constraint. Every machine learning decision you make has downstream consequences for embedded systems. A model that requires 512MB of RAM will not run on a device with 128MB. A model that takes 500ms per inference will drain the battery in days. A model that works in the lab but degrades in the field is a failure. You will learn to think like an embedded systems engineer, not a researcher. You will understand that the goal is not maximum accuracy; it is maximum accuracy within the hardware constraints that define your actual platform. Real-World Iteration. You will take models from lab development through semi-field validation and into live deployment. You will see what happens when your model encounters conditions it has never seen before. You will debug why a model that performed flawlessly during development is behaving unexpectedly in the field. You will iterate based on real-world performance data and build the judgment to know when a model is sufficiently reliable for deployment. Cross-Domain Transfer. The long-term vision is building a platform where machine learning models and data structures developed for one application can be adapted and transferred to others. You will contribute to demonstrating that this is technically possible; that you can take a model built for one classification task and, with appropriate retraining and adaptation, make it work reliably in a different domain. This is the frontier of applied ML. The Role Reporting to the Lead Data Scientist, you will own the development and deployment of machine learning models that sit at the heart of the embedded detection platform. You will work closely with R&D scientists, firmware engineers, hardware designers, and product teams. You will be the bridge between data science and embedded systems. You will own the complete pipeline: from sensor data ingestion and cleaning, through feature engineering and model development, through embedded optimisation and deployment, through field validation and iteration. Key Responsibilities Clean, structure, and analyse sensor datasets from real-world deployments for training and evaluation Develop machine learning models optimised for embedded deployment on resource-constrained devices Work with TensorFlow Lite, Edge Impulse, or custom firmware deployment strategies to integrate models into actual hardware platforms Optimise model architecture, quantization, and inference speed to fit hardware constraints without unacceptable loss of accuracy Collaborate with firmware engineers to integrate your models into live devices, understanding and accommodating their constraints Test model performance across lab, semi-field, and real-world settings; identify failure modes and iterate Document training pipelines, feature engineering methods, model validation results, and deployment learnings Establish reproducible, scalable workflows for model development, retraining, and versioning Support future platform expansion by demonstrating that models can be adapted across different applications and use cases Develop model-driven features such as confidence scoring, anomaly detection, and on-device adaptation logic Must-Haves 5+ years of applied experience in data science or machine learning engineering roles Strong, demonstrable experience with machine learning for classification tasks Proficiency in Python and relevant libraries: scikit-learn, TensorFlow, pandas, NumPy Real-world experience working with sensor data, time-series data, or IoT data streams Familiarity with embedded ML tools and approaches: TensorFlow Lite, Edge Impulse, ONNX Runtime, or equivalent Hands-on mindset; comfortable getting close to hardware, firmware code, and the real-world constraints of device deployment Clear communication; ability to explain model behaviour, limitations, and engineering trade-offs to non-technical collaborators Nice-to-Haves Signal processing experience or background in IoT systems Previous work deploying models to edge devices or microcontrollers Experience with model quantization, pruning, or other embedded optimisation techniques Background in biology, chemistry, environmental science, or related domains Familiarity with sensor calibration pipelines, metadata tagging, or HDF5 Experience with dataset versioning and ML workflow management: MLflow, DVC, Weights & Biases Understanding of low-power device design and power budgeting What Success Looks Like in Year One Models in the Field, Not the Lab. You will have taken at least one machine learning model from initial development through to embedded deployment on a live device. You will have validated that model across lab conditions, semi-field conditions, and real-world deployment. You will have documented accuracy and reliability benchmarks that the R&D and product teams trust enough to build products around. A Repeatable ML Pipeline. You will have established clean, documented workflows for model development, feature engineering, validation, and versioning. The process will no longer be ad hoc. When new sensor data arrives, when a new classification task emerges, or when an existing model needs retraining, the team will have a clear, reproducible path forward. Embedded Constraints Are Second Nature. You will think routinely in terms of memory budgets, latency budgets, and power budgets. You will anticipate firmware engineer constraints before they surface as integration bottlenecks. You will make design decisions that balance model accuracy against hardware reality. Real-World Reliability Mindset. You will understand that deployment is when learning truly begins. You will have built the infrastructure to monitor deployed models, identify when they degrade, understand why, and iterate. You will have learned the hard lessons about what separates a model that works in the lab from one that works reliably in the field. Cross-Domain Credibility. You will have contributed technical evidence that machine learning systems can be developed for one application and transferred to others, with appropriate adaptation and retraining. You will understand what transfers and what does not. Application Please submit the following: Your CV A cover letter (required) explaining your experience with embedded ML and real-world sensor data, and why this particular challenge interests you Answers to the following questions: Can you commit to 3 days per week in Edinburgh? Describe a time you deployed a machine learning model to an embedded or edge device. What were the hardware constraints, and how did you optimise the model to fit them? Have you worked with real-world sensor or time-series data? Describe the challenges you encountered and how you addressed them. What is your current notice period? Tell us about a time you took a machine learning model or pipeline built for one application and adapted it to a different use case or domain. What was transferable? What had to be rebuilt? What draws you to embedded machine learning specifically, rather than traditional cloud-based ML or data science

Hays are now looking for X3 Java Developers for one of our local clients: 600 - 640 p/d Inside IR35 Hybrid - 2 days a week in Telford, the rest is WFH 6 months+ contract Role 1 - Java Engineer (Kubernetes Platform Delivery) What you'll be doing -Working within a Scrum team delivering common and technical components for a large government programme. -Building and supporting services deployed onto Kubernetes platforms, with a focus on deployment, automation and operational excellence. -Contributing to technical design, engineering standards and Agile delivery. What we're looking for -Java 17+ / Spring Boot 3+ -Kubernetes and containerised application delivery -Helm -GitLab CI/CD pipelines -Observability tooling (OpenSearch, Grafana, Prometheus, Dynatrace etc.) -Technical leadership experience -Agile delivery experience Role 2 - Java Engineer with Helm What you'll be doing -Working closely with application teams to deliver and manage services on Kubernetes. -Supporting application deployment, management, automation and pipeline development. -Helping teams adopt cloud-native engineering practices and platform standards. What we're looking for -Java and Spring Boot -Kubernetes -Helm (key requirement) -Microservices design and development -GitLab CI/CD pipelines -Containerisation -Observability and monitoring -AWS Role 3 - Senior Java Engineer (HCP / Technical Leadership) What you'll be doing -Providing technical leadership within a Java engineering team. -Supporting delivery of applications hosted on Kubernetes and HMRC Container Platform (HCP). -Coaching engineers, engaging stakeholders and driving quality-focused delivery. What we're looking for -Java -Kubernetes -HMRC Container Platform (HCP) experience -Technical leadership experience -Coaching and mentoring capability -Stakeholder management -Strong communication and team engagement skills -Quality-driven approach Desirable across all three roles Maven Git / GitLab React / JavaScript OpenAPI OAuth2 / OpenID JUnit / Mockito AWS Grafana / Kibana Microservices architecture Agile Scrum delivery Selenium / Playwright Java 17+ / Spring Boot 3+ (where not already listed as core) If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or send a copy to Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

DevOps Engineer (Cyber Security) Lutterworth - 2 Days on site 3 from home 50,000 - 60,000 + Hybrid + Training + Progression + Company Benefits Are you a DevOps Engineer from a cyber security or highly regulated industry that wants to work with a highly skilled team on cutting edge projects? Do you want to work for a industry leading company with exceptionally talented team solving some of the industry's most complex and technical challenges? On offer is the chance to join a leader in the cyber security industry that are widely considered as the go to name for highly secure and complex infrastructure projects not only in the UK but globally. This role would suit someone with commercial experience in DevOps, a commutable distance to Lutterworth and wants to work in cyber security or DevSecOps. THE ROLE: Design, implement and maintain automated pipelines for building, testing and deploying applications Cloud & On-Prem Application Management - Administer and optimise Azure and on premises application systems Set up and maintain monitoring solutions across DevOps and Application Software deployed across the business Implement security best practices across infrastructure and deployment processes. Ensure systems meet compliance requirements THE PERSON: DevOps Experience Commutable to Lutterworth 2 days a week Reference: BBBH26730 If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. We are an equal opportunities employer and welcome applications from all suitable candidates. The salary advertised is a guideline for this position. The offered renumeration will be dependent on the extent of your experience, qualifications, and skill set.

Lead AI Security Architect - Azure Open AI, AI Foundry Up to 800 per day (Inside IR35) London / Hybrid (1 day per week onsite) 6 months initially My client is looking for a Lead AI Security Architect to drive the secure adoption of AI technologies across a regulated enterprise. This is a highly technical role suited to someone from an engineering, cloud security or AI security background who understands how AI solutions are built, deployed and secured in practice. Governance knowledge is useful, but this is not a GRC or audit-focused position. Key Requirements Strong AI Security, Cloud Security or Security Architecture background. Hands-on experience securing LLMs, GenAI, RAG solutions and AI agents. Experience with Azure OpenAI, AI Foundry and ideally GCP Vertex AI. AI threat modelling, red teaming, prompt injection testing and security control design. Engineering-led mindset with a strong understanding of AI, machine learning and data platforms. Experience implementing AI security controls including AI gateways, prompt filtering and output sanitisation. Ability to engage senior stakeholders whilst remaining technically hands-on Nice to Have Healthcare, insurance, financial services or other regulated sector experience Exposure to data science or machine learning environments. Experience with Palo Alto AI Security or similar AI security tooling. Knowledge of NIST AI RMF, OWASP LLM Top 10 and ISO 42001 If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Service Manager Permanent Full Time Imphal Barracks 38,000 - 42,000 + Benefits The Role Our client is seeking an experienced Service Manager to oversee the safe, compliant, and efficient delivery of planned and reactive maintenance services across the Ministry of Defence estate at Imphal Barracks. This role is responsible for ensuring maintenance activities are delivered in accordance with statutory legislation, MoD mandatory requirements, and company Health, Safety and Environmental standards, while achieving performance, quality, and value for money objectives. You will work closely with operational teams, supply chain partners, and Defence stakeholders to ensure maintenance services are delivered safely, efficiently, and to the highest standards. Alongside the day-to-day management of maintenance delivery, you will support the successful delivery of small Billable Works projects, provide technical guidance to stakeholders, and contribute to forward maintenance planning, ensuring the contract continues to operate safely, compliantly, and commercially. Key Responsibilities Lead the delivery of planned and reactive maintenance services across the Defence estate, ensuring all works are completed safely, on time, and in line with contractual requirements. Ensure compliance with statutory legislation, MoD mandatory requirements, and Health, Safety and Environmental policies. Coordinate internal teams and supply chain partners, ensuring suitably qualified operatives are deployed with the correct skills, equipment, and authorisations. Review and approve Risk Assessments and Method Statements (RAMS), ensuring safe systems of work are implemented across all maintenance activities. Monitor service delivery performance against KPIs, quality standards, and customer expectations. Manage maintenance activity through CAFM systems, ensuring all works are accurately recorded and supporting documentation is completed within required timescales. Build and maintain strong working relationships with Defence Infrastructure Organisation (DIO) representatives, customers, subcontractors, and internal stakeholders. Act as a key point of contact for operational issues and customer concerns, ensuring queries and complaints are resolved professionally and efficiently. Support the development and delivery of small Billable Works projects, including producing rough orders of cost and overseeing delivery through to completion. Provide technical advice and operational support to site teams and customers to ensure effective estate management. Lead, supervise, and coach operational teams, promoting a positive safety culture and driving high standards of performance. Support forward maintenance planning, resource allocation, and continuous improvement initiatives across the contract. Monitor operational costs, identify risks, and contribute to the commercial performance of the contract through effective planning and decision making. Candidate Requirements / Skills & Experience Required Proven experience managing planned and reactive maintenance services within a facilities management, construction, engineering, or Defence environment. Experience leading operational teams and coordinating subcontractors to deliver maintenance services safely and efficiently. Strong understanding of statutory compliance, planned maintenance, reactive maintenance, and safe systems of work. Experience delivering or supporting small works or minor project delivery is highly desirable. Strong commercial awareness with the ability to balance operational priorities against cost and value for money. Excellent stakeholder management skills with the ability to build relationships across customers, contractors, and internal teams. Confident decision-maker with strong organisational and problem-solving abilities. Excellent communication skills with the ability to influence stakeholders and lead teams effectively. Strong IT skills, including Microsoft Office applications and CAFM systems. Technical competency within building services, engineering, or hard facilities management is essential. Qualifications & Training HNC in Building, Civil, Mechanical or Electrical Engineering, or equivalent industry experience. Management-level Health & Safety qualification such as SMSTS. Strong working knowledge of CAFM systems. Full UK driving licence. Desirable: Experience undertaking Authorised Person responsibilities. Qualifications or experience relating to Legionella, Asbestos, Confined Spaces, or Working at Height. Previous experience working within a Ministry of Defence or other highly regulated environment.

We're partnering with a fast-growing AI and technology business in London seeking a Forward Deployed Engineer to work directly with enterprise clients, solving complex business problems through cutting-edge technology solutions. Key Responsibilities: Gather and translate client requirements into technical solutions. Build and deploy AI, data, and software solutions. Lead technical workshops and stakeholder engagement. Work closely with engineering and product teams. Support integrations, implementations, and client adoption. Requirements Strong experience with Python. Experience working directly with customers or stakeholders. Knowledge of Azure, AWS, or GCP. Strong problem-solving and communication skills. Experience with AI or Data platforms is highly desirable. This is a hybrid role therefore right to work for the UK is necessary.

Your new company My client is looking for an experienced, confident and highly practical First-Line Field Support Engineer to join us on an initial three-month contract. You must be able to be DBS cleared and have a clean, UK driving licence with your own transport. Expenses are paid. Your new role This is a hands-on, field-based position supporting charitable organisations across Birmingham and the surrounding areas. The successful candidate will spend a significant proportion of the working day driving between locations, resolving technical issues directly with users and completing equipment deployments and other IT support activities. This is not a traditional office-based or service-desk position. The engineer will predominantly work independently in the field and must be confident diagnosing and resolving technical problems without direct on-site support. Provide first-line technical support directly to users across multiple locations. Diagnose and resolve hardware, software, user account, connectivity and Microsoft 365 issues. Install, configure and deploy laptops, desktop computers, mobile devices and associated equipment. Support Microsoft 365 deployments, user migrations and account changes. Configure user profiles, applications, printers and peripheral devices. Troubleshoot Microsoft 365 applications, Windows & Mac devices, networks, Wi-Fi and printing issues. Replace, move, reconnect and physically install IT equipment where required. Follow established technical documentation, deployment processes and knowledge-base instructions. Maintain accurate records of work completed, equipment deployed and unresolved issues. Escalate more complex incidents appropriately, providing clear diagnostic information. Communicate professionally with users at all levels, including those with limited technical knowledge. Manage their own daily workload and travel schedule across multiple sites. What you'll need to succeed Previous experience working in a first-line IT support or field engineering role. Previous experience providing face-to-face IT support across multiple sites. Practical experience delivering Microsoft 365 deployments or migrations. Strong working knowledge of Microsoft 365, including Outlook, Teams, OneDrive, SharePoint and Intune. Good working knowledge of Windows laptops and desktop computers. Strong hardware and software troubleshooting skills. Experience installing, configuring, deploying and replacing IT equipment. Experience supporting users in the field rather than solely from behind a service desk. The ability to follow technical documentation and use a knowledge-management system effectively. The ability to identify when an issue needs to be escalated and provide clear technical information. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

About Us Founded in 1999, our goal is to supply the global automotive industry aftermarket products and components that meet or exceed OE quality and testing. Not only enabling garages to fit an aftermarket alternative with confidence but leaving the consumer walking away with a guarantee and a healthy balance. Whether it s our Directors, Technical Engineers, Sales Team, Product Managers or Marketing Team, we have a diverse workforce offering a range of skills with a heap of experience in the automotive aftermarket. Job Description As a member of our fast-paced warehouse team you will be responsible for ensuring the stock is moving through the warehouse in a safe and efficient manner. We operate a multifunctional warehouse, and our associates can be deployed to support different areas. From Goods In where we received multiple containers per day through our bespoke Track packing area and onto the Export delivery area where orders are prepared for worldwide shipping. This means our associates need to be multi-skilled as well as flexible and forward thinking. What we re looking for in an associate Physical strength, fitness and dexterity Good communication skills Excellent team-working skills to effectively collaborate with other members of a warehouse team Accuracy in all activities Ability to work in a fast-paced environment Computer literacy, including knowing how to use scanners and relevant software programs, such as warehouse management systems would be beneficial training will be given as needed MHE experience training will be given Excellent organisational skills Honesty and trustworthiness The ability to work effectively under limited supervision Flexibility and reliability We constantly aim to up skill our associates and have an in-house training team dedicated to this task. This development could be training to operate machinery, such as forklift trucks as well as in depth training on items such as manual handling and WMS interaction. What we can offer A competitive salary package Performance bonus scheme - can earn up to £1,200 per year extra Training in various areas of warehouse operations MHE License opportunities (Forklift, Reach Truck, Electric Pallet Stacker, LLOP) Workplace pension 20 days holiday (plus bank holidays) Holiday increase after 2 years service Varied work experience Supportive culture Overtime is available Shift Pattern available: 21 30 (Night Shift) No shift rotations, Sunday to Thursday - Great work life balance.

About Us Founded in 1999, our goal is to supply the global automotive industry aftermarket products and components that meet or exceed OE quality and testing. Not only enabling garages to fit an aftermarket alternative with confidence but leaving the consumer walking away with a guarantee and a healthy balance. Whether it s our Directors, Technical Engineers, Sales Team, Product Managers or Marketing Team, we have a diverse workforce offering a range of skills with a heap of experience in the automotive aftermarket. Job Description - Warehouse Supervisor (Goods In) As the supervisor of our fast-paced Goods in warehouse team you will be responsible for leading a team of associates through their daily workloads, including planning of container deliveries, container offloading and booking in of all deliveries. You will also be responsible for identifying delivery issues and communicating with other departments highlighting any issues. You will also be responsible for updating WMS and ensuring all transactions are 100% accurate. While also supporting the development of the warehouse operations. We operate a multifunctional warehouse, and our associates can be deployed to support different areas. From Goods In where we receive multiple containers per day through to our bespoke Track packing area and onto the Export delivery area where orders are prepared for worldwide shipping. This means our supervisors need to be multiskilled as well as flexible and forward thinking. What we re looking for in a supervisor A leadership mentality A person who others look up to as an example to follow be that in self-discipline or working along side your associates when they need help. Physical strength, fitness and dexterity Excellent communication skills Excellent team-working skills to effectively collaborate with other members of a warehouse management team Ability to work in a fast-paced environment Excellent Computer literacy, including knowledge of WMS and how to use scanners and relevant software programs. MHE experience is a bonus training will be given if needed Excellent organisational skills Honesty and trustworthiness The ability to work effectively under limited supervision Flexibility and reliability We constantly aim to upskill our associates and have an in-house training team dedicated to this task. This development could be training to operate machinery, such as forklift trucks as well as in depth training on items such as manual handling and WMS interaction. What we can offer A competitive salary package Management training options in line with future development Training in various areas of warehouse operations MHE License opportunities (Forklift, Reach Truck, Electric Pallet Stacker, LLOP) Workplace pension 20 days holiday (plus bank holidays) Holiday increase after 2 years service Varied work experience Supportive culture Overtime is available Shift Pattern (Fixed shifts Monday Friday) Late Shift 2pm to 10pm This position is full time and permanent.

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: Full Stack Developer Location: London Type: Contract (Hybrid) Comp: Up to £425 per day About the Role & Our Client: We're working with a well-established and forward-thinking company that is driving digital innovation across multiple platforms. Known for building highly scalable and performance-driven products, our client is now looking to add a talented Full Stack Developer to their technology team. This is a fantastic opportunity to be part of a collaborative, agile environment where engineering quality, clean architecture, and modern frameworks are core to everything they do. If you're passionate about building reliable, user-friendly applications at scale-this one's for you. Role Highlights: Build and maintain highly resilient, scalable, and secure web applications. Develop modern Front End features using React, TypeScript, and component libraries. Experience with headless CMS frameworks to deliver seamless UX. Work within a cross-functional Agile team, contributing to the technical direction. Ensure solutions are well-tested, monitored, and deployed via CI/CD pipelines. What We're Looking For: Strong hands-on experience with React.js and Node.js (preferably using Fastify). Solid understanding of TypeScript, modern JavaScript (ES6+), and Front End tooling. Experience with headless CMS and E-commerce integrations (eg, AEM, Magento 2). Familiar with API-driven architecture, JWT authentication, and cloud-first deployment. Proven track record in delivering full-stack applications in a modern DevOps environment. If you're a proactive, hands-on developer looking to work with a high-performing team on exciting digital products, we'd love to hear from you. Apply now or reach out for a confidential chat.