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AI Engineer - Job Description Position SummaryOur client's AI & Data function focuses on helping organisations solve complex business challenges through the effective use of data, artificial intelligence, and modern technology platforms.The team delivers end-to-end, business-driven solutions that integrate data, technology, and processes across organisations and their wider ecosystems, including partners, suppliers, and customers.The focus is on creating scalable, high-quality, and governed solutions that enable better decision-making, operational efficiency, and digital transformation. The OpportunityAs an AI Engineer, you will work at the intersection of data, engineering, and artificial intelligence to build practical, scalable solutions that deliver real business value.You'll collaborate with cross-functional teams to design, develop, and deploy data pipelines, machine learning models, and AI-enabled applications that support analytics, automation, and insight generation.This role suits someone who enjoys: • Working with modern data and AI technologies, • Delivering clean, reliable, production-ready solutions, • Translating business needs into technical outcomes Key ResponsibilitiesData Engineering & Development • Design, build, and maintain scalable data pipelines, datasets, and data models, • Support analytics, reporting, and AI-driven use cases, • Work with both structured and unstructured data sources AI & Machine Learning • Develop and deploy machine learning models for:, • Prediction, • Classification, • Automation, • Insight generation, • Support the full life cycle from experimentation through to production Generative AI & LLM Applications • Develop AI-powered solutions using large language models (LLMs), • Apply prompt engineering and context engineering techniques, • Build use cases such as:, • Chatbots, • Document processing, • AI copilots, • Workflow automation Data Integration & Quality • Integrate data from multiple internal and external sources, • Ensure data quality, consistency, and reliability across platforms Collaboration & Stakeholder Engagement • Work closely with:, • Business Analysts, • Data Analysts, • Product teams, • Translate business requirements into scalable technical solutions, • Communicate technical concepts clearly to non-technical stakeholders Testing, Monitoring & Optimisation • Implement testing, validation, and monitoring processes, • Ensure:, • Data accuracy, • Model performance, • System reliability, • Optimise pipelines, storage, and models for performance and scalability Documentation & Governance • Produce clear technical documentation (pipelines, models, logic), • Follow best practices around:, • Data governance, • Security, • Privacy, • Compliance Skills & ExperienceEssential • Experience in a similar role (AI Engineer, Data Engineer, Machine Learning Engineer, or Data Developer), • Strong programming skills (Python, SQL or similar), • Experience building and maintaining data pipelines, • Working with structured and unstructured data Desirable • Experience with machine learning frameworks (e.g. TensorFlow, PyTorch, scikit-learn), • Exposure to Generative AI tools/frameworks (e.g. LLMs, LangChain), • Experience with cloud platforms (Azure, AWS, or GCP), • Familiarity with data platforms, data warehouses, or big data technologies Soft Skills • Strong analytical and problem-solving ability, • Attention to detail and commitment to quality, • Ability to communicate technical ideas effectively, • Experience working in Agile environments Additional Requirements • Candidates may be required to undergo background checks or security clearance depending on client/project requirements. About the TeamYou'll be working within a collaborative technology and data environment focused on delivering transformation for clients across multiple industries.The team combines deep technical expertise with innovative thinking to help organisations modernise their data and AI capabilities, unlock value, and improve outcomes for customers, employees, and stakeholders. 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 hays.co.uk

We are seeking a highly skilled Claude Code Agentic Developer to join our team in Manchester and lead the development of next-generation AI-powered agentic solutions. The successful candidate will design, build, and deploy autonomous AI agents using Claude Code and modern LLM technologies, enabling intelligent workflow automation, business process optimisation, and advanced decision support capabilities. This role combines software engineering, AI application development, automation, and prompt engineering to create scalable agentic systems capable of reasoning, planning, memory management, and tool integration across enterprise environments. Key Responsibilities • Design, develop, and deploy agentic AI applications using Claude Code., • Build autonomous AI agents capable of multi-step reasoning, planning, memory retention, and tool execution., • Integrate AI agents with APIs, databases, enterprise systems, and third-party platforms., • Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and knowledge repositories., • Create secure, scalable, and production-ready AI workflows., • Engineer prompts, system instructions, and evaluation frameworks to improve agent performance and reliability., • Develop multi-agent architectures and orchestration frameworks., • Implement monitoring, observability, testing, and governance controls for AI systems., • Collaborate with Product, Engineering, Data, and Business stakeholders to identify and deliver AI use cases., • Stay up to date with advancements in Agentic AI, Generative AI, Claude Code, and the wider LLM ecosystem. Required Skills & Experience Agentic AI & LLM Development • Proven experience developing solutions using Claude Code., • Strong understanding of Agentic AI concepts including planning, reasoning, memory, reflection, and tool use., • Experience building autonomous AI agents and AI-powered automation solutions., • Strong prompt engineering and AI evaluation experience., • Experience implementing RAG architectures and semantic search solutions. Software Engineering • Strong Python development skills., • Experience with JavaScript and/or TypeScript., • Experience building and integrating REST APIs., • Understanding of software architecture, design patterns, and scalable development practices., • Experience with Git, CI/CD pipelines, and modern development workflows. AI Frameworks & Tools Experience with one or more of: • Claude Code, • Anthropic APIs, • LangGraph, • LangChain, • CrewAI, • AutoGen, • LlamaIndex, • MCP (Model Context Protocol) Data & Infrastructure • Experience with vector databases such as Pinecone, Weaviate, Chroma, Qdrant, or FAISS., • Knowledge of SQL and NoSQL databases., • Experience integrating enterprise data sources and knowledge repositories. Cloud & DevOps • Experience with AWS, Azure, or GCP., • Knowledge of Docker and Kubernetes., • Experience deploying AI applications into cloud environments. Preferred Experience • Commercial experience delivering production-grade AI solutions., • Experience with multi-agent orchestration and autonomous workflow systems., • Exposure to MLOps, AI observability, and governance frameworks., • Experience working within enterprise or regulated environments., • Knowledge of cybersecurity and secure AI development practices. Qualifications • Degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related discipline., • Relevant cloud, AI, or software engineering certifications are advantageous. Why Join Us? • Opportunity to work on cutting-edge Agentic AI initiatives., • Influence the design and delivery of enterprise AI solutions., • Hybrid working model based in Manchester., • Exposure to the latest AI technologies and frameworks., • Collaborative and innovation-focused environment. Location Requirements • Based in or able to commute to Manchester on a regular basis., • Eligibility to work in the UK., • Hybrid working arrangement with occasional onsite collaboration required.

A multinational technology firm is looking for a personable IT graduate with a passion for development to join its team, based in Manchester. As the business embraces flexibility, you can work from home up to 3 days per week. Working with a large team of developers in a fast-paced, dynamic environment you will develop innovative web-based user interfaces that utilise AI to enhance the customer experience. You will craft user interfaces using the latest JavaScript frameworks, HTML5 and CSS3, bringing cutting-edge AI driven applications to life. You will build upon your existing web development and design skills in a supportive and collaborative environment. This role would suit an intelligent and personable web developer who is passionate about technology and interested in AI and ML. To be considered for this role you must have a good degree in a relevant subject (IT, Computer Science or similar), and a desire to build a career in web development. In order to be suitable for this position, you must have a secure understanding of core web technologies, including: JavaScript, HTML5 and CSS3. It is expected that you will also be familiar with AJAX or JSON for data exchange and have knowledge of JavaScript frameworks. Knowledge of a server side language such as Java, and of Artificial Intelligence and Machine Learning would be advantageous to your application. This is an outstanding opportunity for a graduate to take the first step in their career at a market-leading business that invests heavily in its staff and offers a clearly defined career path.

AI Engineer - Job Description\n📍 Position SummaryOur client's AI & Data function focuses on helping organisations solve complex business challenges through the effective use of data, artificial intelligence, and modern technology platforms.The team delivers end-to-end, business-driven solutions that integrate data, technology, and processes across organisations and their wider ecosystems, including partners, suppliers, and customers.The focus is on creating scalable, high-quality, and governed solutions that enable better decision-making, operational efficiency, and digital transformation.\n🚀 The OpportunityAs an AI Engineer, you will work at the intersection of data, engineering, and artificial intelligence to build practical, scalable solutions that deliver real business value.You'll collaborate with cross-functional teams to design, develop, and deploy data pipelines, machine learning models, and AI-enabled applications that support analytics, automation, and insight generation.This role suits someone who enjoys:\n\nWorking with modern data and AI technologies\nDelivering clean, reliable, production-ready solutions\nTranslating business needs into technical outcomes🔧 Key ResponsibilitiesData Engineering & Development\n\nDesign, build, and maintain scalable data pipelines, datasets, and data models\nSupport analytics, reporting, and AI-driven use cases\nWork with both structured and unstructured data sourcesAI & Machine Learning\n\nDevelop and deploy machine learning models for: \nPrediction\nClassification\nAutomation\nInsight generation\nSupport the full life cycle from experimentation through to productionGenerative AI & LLM Applications\n\nDevelop AI-powered solutions using large language models (LLMs)\nApply prompt engineering and context engineering techniques\nBuild use cases such as: \nChatbots\nDocument processing\nAI copilots\nWorkflow automationData Integration & Quality\n\nIntegrate data from multiple internal and external sources\nEnsure data quality, consistency, and reliability across platformsCollaboration & Stakeholder Engagement\n\nWork closely with: \nBusiness Analysts\nData Analysts\nProduct teams\nTranslate business requirements into scalable technical solutions\nCommunicate technical concepts clearly to non-technical stakeholdersTesting, Monitoring & Optimisation\n\nImplement testing, validation, and monitoring processes\nEnsure: \nData accuracy\nModel performance\nSystem reliability\nOptimise pipelines, storage, and models for performance and scalabilityDocumentation & Governance\n\nProduce clear technical documentation (pipelines, models, logic)\nFollow best practices around: \nData governance\nSecurity\nPrivacy\nCompliance🧠 Skills & ExperienceEssential\n\nExperience in a similar role (AI Engineer, Data Engineer, Machine Learning Engineer, or Data Developer)\nStrong programming skills (Python, SQL or similar)\nExperience building and maintaining data pipelines\nWorking with structured and unstructured dataDesirable\n\nExperience with machine learning frameworks (e.g. TensorFlow, PyTorch, scikit-learn)\nExposure to Generative AI tools/frameworks (e.g. LLMs, LangChain)\nExperience with cloud platforms (Azure, AWS, or GCP)\nFamiliarity with data platforms, data warehouses, or big data technologiesSoft Skills\n\nStrong analytical and problem-solving ability\nAttention to detail and commitment to quality\nAbility to communicate technical ideas effectively\nExperience working in Agile environments🔐 Additional Requirements\n\nCandidates may be required to undergo background checks or security clearance depending on client/project requirements.🌍 About the TeamYou'll be working within a collaborative technology and data environment focused on delivering transformation for clients across multiple industries.The team combines deep technical expertise with innovative thinking to help organisations modernise their data and AI capabilities, unlock value, and improve outcomes for customers, employees, and stakeholders.\n\nHays 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)

Note: no agencies/consultancies, must be in the UK with right to work We're building the digital infrastructure that makes clean energy work in the real world. Seventy million machines run on diesel. The alternatives exist. But the operations are complex, the supply chains are still emerging, and for most companies the transition feels risky. That's the problem we're solving. Logiq Systems builds the operational intelligence layer that makes clean energy work in the real world. One platform for fuel suppliers, rental companies, and asset operators to deploy, monitor, and optimise hydrogen, battery, solar, and alternative fuel systems — at the scale and reliability that industries actually need. We're live across construction, events, and industrial sectors with customers including Toyota, Balfour Beatty, Acciona, Sunbelt Rentals, and Protium. The technology works. Now we're scaling the team that scales the business. If you want to work on infrastructure that matters, in a company early enough that what you do shapes the industry, we'd like to hear from you. UNITED KINGDOM, REMOTE / FULL-TIME Role Summary: We are looking for a Senior Software Engineer (full-stack) to develop the Logiq platform. Working closely with our Head of Product, you will be responsible for building software that forms the core of our main business, as well as defining the long-term technical direction of Logiq Systems. Who we are today: Logiq Systems was founded in 2020 and is currently a team of five. Aran Bates and Ben Lindley are the founders, two friends turned colleagues. We are both dads of kids less than 5 years old (two each). Having both worked on this for two years self-funded (although now venture backed) we are driving a huge market shift in off-grid energy. While it is one that won't change with the speed of the AI bubble - this is infrastructure and hardware, not some Al wrapper over ChatGPT - it delivers sticky and lasting change with our customers and the industries we touch. As a team our passion and mission is improving the world around us, making it better for people and the planet. Our purpose pushes us to be the force of change in this industry. Not just in environmental sustainability by making the world less polluted from carbon, noise and poor air quality, but also in creating a supportive company flexible to the realities of modern life. A company with a diverse, equal, and respectful workforce. What does that really mean though? Well we recognise that talent can exist anywhere in the UK and that people have life commitments that can overlap with traditional 'core hours'. We are remote-first: As a team we are spread across the UK from Edinburgh to London, this means we can work with the best people out there. We also recognise the importance of building a sense of team, meeting regularly (at least once a quarter) and put a lot of emphasis into team building in the 'virtual' work environment also - e.g. daily team video calls, non- work Slack channels such as one specifically for sharing the music we are listening to. Although for this role there is a preference to have a candidate within around an hour of travel to Edinburgh or Oxford to work with the founders or the Head of product in person more regularly. Flexible working: To manage the interface of life and work we operate a flexible working policy, at the start of every week we have a whole team standup and in that we clearly communicate as a team what commitments people have that might cut into the working day or lead to a hard stop at the end of the day, so that as a team we can ensure that life and work fit together. Supporting women and primary carers in tech: Both Ben and Aran fully recognise the importance of building a supportive working environment for women and parents so they can continue a career, while remaining supportive and attentive to both kids and work. This has been heavily influenced through their experience as fathers and with partners who continue to have successful careers, while sharing parenting loads. The team we are building: The team we want to build is one where we are: • Passionate about making a difference. We are pushing change through a traditional market there meaning there are naysayers, so it is very important we have strong belief in the change we are driving., • Flexible and comfortable with ambiguity. We must be flexible as the market is early and developing. You will be shaping a new offering in the clean energy industry right from the start!, • Extremely self-motivated with a strong work ethic. We are a small team and need people to own their work. We also work hard because we love what we do!, • Fun! We need to enjoy what we do, while still being proud about the quality of our work., • Humble, authentic, and honest. We give credit where credit is due. We can respect, support and celebrate others for the value they bring., • Comfortable being challenged. We believe in creating an environment where we feel comfortable and safe enough for ideas to be challenged in a constructive manner., • Curious. Curiosity drives improvement and innovation. Always ask why. The Role: As a Senior Software Engineer, you will be directly shaping the long-term technical direction of the Logiq platform and products, which provide real-time operational intelligence for connected clean energy assets. You will be designing and developing new products, features and improvements to the Logiq platform, delivering value to our growing customer base and the key capabilities required to evolve our growing business. As a senior member of the team, you will also have direct input into the product direction, working closely with the Head of Product to shape how Logiq develops as we scale. You will also be the champion of software engineering best practices across Logiq Systems. A few of your responsibilities: • Design and develop full-stack features using React, Python, PostgreSQL and serverless technologies (AWS Lambda, Fargate)., • Design and implement RESTful APIs and event-driven systems., • Maintain, extend and improve optimisation, alerting and forecasting models., • Implement and maintain CI/CD pipelines., • Ensure high-quality code through peer reviews, automated testing, documentation and adherence to software development standards., • Design and implement technical architecture and engineering processes., • Collaborate closely with a small startup team. To thrive in this role: We expect you to: • Be comfortable with variety and shifting priorities. Early-stage companies require adaptability, and you'll be working across very different types of tasks., • Take ownership of outcomes, not just tasks. You'll be given problems to solve, not always detailed instructions on how to solve them. We'll provide context and support, but you should be confident running with work and coming back with solutions or thoughtful questions., • Balance quality with speed. Early-stage work requires knowing when "good enough" is better than "perfect but late"., • Ask questions and challenge ideas respectfully. We value curiosity and constructive input across the team. We value people who bring their perspective and aren't afraid to ask "why?" or "what if we tried...?". Equally they are comfortable with their ideas also being respectfully questioned. We put the problem being tackled in the middle. What you'll need to do this job: • Full-stack: Proven experience in full-stack software development. We are using Python (REST & GraphQL) for the backend, React for the frontend., • Cloud architecture design: Proven experience in scalable cloud architecture design., • API design: Solid understanding API design (REST & GraphQL)., • SQL/NoSQL databases: Experience working with SQL (Postgres) and / or NoSQL databases., • AWS: Familiarity with the AWS infrastructure, such as Serverless stack or other event driven architecture technologies., • Customer Mindset: We value engineers who have a strong product and customer-centric mindset., • Communication: Excellent communication and collaboration skills to explain ideas clearly., • Collaborative and low-ego approach: You contribute positively to team culture and work well with others., • Agile: Comfortable with very lean/agile processes. We want you to be involved in all phases of the development lifecycle and bring your unique talents to the process., • DevOps: Experience with DevOps including setting up and managing CI/CD pipelines and terraform deployment., • AI enabled: Comfortable with leveraging AI to better assist developer workflows and rapid prototyping, • Testing: A strong testing mindset. If you think you meet most of the criteria, please get in touch! Experience we'd love to see: • Experience in developing high-scalability systems, • Experience with IoT data collection and processing pipelines. We are using a combination of Node-RED, MQTT, Telegraf, Linux, Python, InfluxDB and TimescaleDB., • Experience with integration of 3rd-party systems, • Experience with statistical modelling, ML optimisation & forecasting, • Strong data analytics skills, • Experience in early-stage start-ups, consulting, or high-growth environments where you've navigated ambiguity and taken initiative, • Experience working on (renewable) energy products or telemetry producing systems Location: • United Kingdom, Remote full-time, • We are remote first. We meet regularly (around once a quarter at least)., • We can’t currently support visas so you must have the right to work in the UK., • Preference for 1hr travel proximity to Edinburgh or Oxford to meet semi-regularly to work with founders or Head of Product. Remuneration: • £65,000 to £75,000/year salary depending on experience, • Share options in Logiq Systems

Information about the Organization: Eruditus and its sister company Emeritus provide Private Online Courses (SPOCs) to students all over the world. We have partnered with top schools across the globe, such as Columbia Business School, The Tuck School of Business at Dartmouth, MIT, Wharton, London Business School, Cambridge, and UC Berkeley Haas School of Business, to provide condensed, intense, practical, and convenient programs, which can either be conducted completely or partially online. EMERITUS enables working professionals who cannot enroll into full-time courses to access a top-tier, affordable education that will give them the skills needed to be the business leaders of tomorrow. The Emeritus and Eruditus global team include 1,000+ employees located in the US, Dubai, Mexico, India, China, and Singapore. Information about the Learning Facilitator role: Emeritus is seeking a Program Facilitator in RAG and Context Engineering: Designing and Building Production-Grade AI Systems for MIT xPRO. The Program Facilitator should function as both: a technical subject matter expert (SME), and a learning support partner capable of helping learners apply complex concepts in practice, through the 8-week online program. The facilitator must have industry experience and demonstrated knowledge of the course subject area; They will guide learners through complex topics, requiring significantly more than general familiarity with AI tools. The Facilitator should have hands-on experience building or working with retrieval-aware AI systems and enough practical depth to support live labs, troubleshoot learner challenges, and guide architectural reasoning throughout the program This is a great role for someone who wants work flexibility and the chance to diversify their resume with consultancy and teaching experience. This is an independent contractor position in a remote setting. Key Responsibilities of the Program Facilitator include but are not limited to: • Facilitate weekly office hours and moderate required discussion boards., • Facilitate lab sessions weekly., • Moderate and guide learner engagement during faculty live sessions., • Support learners in synthesizing live session content delivered by the faculty (e.g., AI tools in cybercrime, GRC frameworks, deepfake detection)., • Assist with capstone assignment challenges., • Collaborate with academic delivery managers to improve engagement and comprehension., • Monitor learner progress and provide support or escalation as needed. Qualifications for the role: • 10+ years of extensive work experience as an Applied AI Consultant, Solutions Architect, Developer Educator, Technical Product Manager, Search/Retrieval Engineer or AI/ML Bootcamp Instructor., • A bachelor’s degree is required; plus, a master’s degree is preferred in one of the following fields: engineering, artificial intelligence, machine learning or any related fields., • Hands-on experience building or experimenting with Retrieval-Augmented Generation (RAG) systems., • Experience working with LLM APIs (e.g., OpenAI, Anthropic, OpenRouter, Gemini)., • Experience implementing or testing AI-powered applications., • Familiarity with vector databases, embeddings, semantic search, and retrieval workflows., • Experience evaluating LLM outputs and diagnosing system failures., • Experience supporting technical learners in applied or project-based environments., • Solid experience with Large Language Models (LLMs) how they work conceptually, limitations, prompt engineering strategies, context windows and tokenization and trade-offs across different model providers., • Solid experience with Retrieval-Augmented Generation (RAG), RAG architecture, retrieval pipelines, chunking strategies, embeddings, vector search, hybrid retrieval, reranking and retrieval quality trade-offs., • Solid experience with Evaluation and System Diagnosis, evaluation frameworks, benchmarking approaches, qualitative and quantitative evaluation, retrieval metrics, output quality assessment, failure analysis, and iterative system improvement., • Solid experience with Agentic and Tool-Based Systems, AI agents, orchestration concepts, tool calling, memory systems, retrieval-aware agents, and multi-step workflows., • Strong knowledge with APIs and Technical Workflow Support, API-based workflows, Python notebooks/scripts, environment setup, debugging common technical issues, JSON structures, and reading technical documentation., • Experience supporting executive or mid-career professionals in continuing education is highly preferred., • Excellent communication, facilitation and interpersonal skills with an ability to listen effectively, respond appropriately, and maintain a mutual comfort level while working with a diverse population., • Ability to translate technical content into actionable insights., • Empathetic and learner-centered approach., • Comfortable in an online environment, navigating LMS platforms (Canvas), Zoom, Slack, or similar environments., • Strong organizational and time-management skills to manage weekly cycles of engagement and support. Program Description and Context: The RAG and Context Engineering: Designing and Building Production-Grade AI Systems program from MIT xPRO is an eight-week learning journey that equips participants to design, evaluate, and deploy retrieval-aware large language model (LLM) systems that perform reliably in real-world environments. In eight weeks, this program will provide participants with expertise in evaluation discipline, system auditing, retrieval-augmented generation (RAG) design, and the core principles that determine whether LLM systems succeed or fail in production. • Duration: 8 weeks (estimated learner commitment: 4–5 hours/week)., • Structure: Blend of asynchronous Canvas activities and live Zoom sessions., • Target Audience: Mid- to senior-level professionals and technical leaders seeking to build end‑to‑end RAG and LLM systems. Emeritus provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal or state laws.

?Role; Senior Azure Platform Engineer Location; Office in Manchester city centre, ideally 2 days per week in office but open to once per month in the office if needed Salary; £80-90k plus benefits Key skills; Azure, AKS/Kubernetes, Terraform, Golang, AI tooling and platform engineering automation You've spent years building and improving cloud platforms. You know what good infrastructure looks like, how to scale systems properly, and how to create environments that engineers actually enjoy working in. You're probably the person people come to when things get complicated. Whether that's improving Kubernetes environments, designing resilient Azure infrastructure, fixing bottlenecks in CI/CD pipelines, or helping teams adopt better engineering practices, you're the one who figures it out. You're also curious about where engineering is heading next, especially when it comes to AI. That's exactly why this role could be worth your attention. I'm working with a technology business that is going all-in on AI across its engineering and platform function. They're investing heavily in AI-assisted tooling, automation, operational intelligence, and developer experience improvements, and they want Platform Engineers who are excited about being part of that journey. You'll be working in an environment where tools like GitHub C...

TransPerfect is seeking a Business Intelligence Developer to support the design and maintenance of business intelligence solutions.

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Join a thriving warehouse& production team with competitive hourly rates and excellent development opportunities in Barton Upon Humber.We are looking for several Warehouse Operatives.Location: Barton Upon Humber, DN18.Experienced preferred but not essential; training provided.Shift: Monday to Friday

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Were working with an early-stage, mission-led software business looking to hire a. The business already has a live platform and strong market relevance the next phase is about.

This is an opportunity to work at the intersection of modern software engineering and Generative AI, building intelligent applications that solve real business challenges.

Cyber Software Engineer - National Security.The successful applicant will join teams working at the forefront of AI/DS, Cyber, Cloud, DevOps/SRE and Platform Engineering.With long-term programmes secured across the latest frameworks, this position offers the chance to be part of an exciting growth j

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Senior Software Engineer - SC Cleared.Active SC Clearance and eligibility for DV.A leading organisation delivering operational cyber capabilities is looking for a Senior Software Engineer to join its growing technical team in Manchester.This is an opportunity to work on highly secure, mission-critic

Prior experience liaising with product teams and business stakeholders.

Portfolio are proud to be representing our clients who are a Software provider based in the heart of Manchester, providing people solutions to over 100,000 clients worldwide and they're looking for a Software Engineer In Test.The role is paying up to £55,000 and is 5 days a week in the office.Exper

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Software Engineer - 6 months FTC.Hybrid working - 3 days on-site, Greater Manchester.We're a forward-thinking, tech-driven organisation developing robust digital products used by a large user base.Our engineering teams operate within cross-functional Agile squads, focusing on modern engineering prin

You will work closely with the founders, translating business goals into a clear technical roadmap and high-quality execution.

Magnus Search are currently recruiting for Warehouse Operatives for our busy client based in Stockport.Previous warehouse experience is required for this role.To pick and dispatch online customer orders.Process and dispatch customer FOC requests.To locate all accepted stock into the departments stoc

The successful candidates will be working either on the production line or within the cleaning and descaling department, supporting the day-to-day operations of the business.