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Job Title: Senior Python ML Engineer Location: Central Scotland (3-days per week on-site) Rate: £450 - £500 per day, inside IR35 (dependent on experience) Duration: 12 months Tec Partners are working with a world-leading technology client who are currently looking for an experienced Senior Python ML Engineer, to work on assignment with a global, enterprise customer. As a Senior Python ML Engineer, you will bring extensive Python development experience and Machine Learning expertise, along with a track record of building solutions from scratch. What they are looking for: • Extensive Python development experience, • Strong Machine Learning experience, • Experience creating REST APIs, • Experience with message queues If you are interested in this position or would like to discuss further, please send your CV for immediate review.

Role: Data Engineer Location: Glasgow/London We’re partnering with a global leader in renewable energy, driven by a clear mission: to accelerate the transition to affordable, zero-carbon power worldwide. This is a business tackling some of the most complex challenges in energy today, combining deep industry expertise with cutting-edge digital solutions. At the heart of that is data. They’re investing heavily in their digital capabilities and building a team of ambitious engineers who want to make a real-world impact. You’ll be joining a collaborative, international environment where learning, progression, and innovation are genuinely encouraged. The Role As a Data Engineer, you’ll play a key role in building and scaling modern data platforms that power critical decision-making across renewable energy assets. Working within a growing digital function, you’ll help design and develop data pipelines and lakehouse solutions that support analytics, reporting, and machine learning initiatives. This is a hands-on role with plenty of scope to learn, contribute ideas, and grow your expertise—particularly within the Databricks ecosystem. What You’ll Be Doing • Building and maintaining robust, scalable data pipelines, • Supporting the development of modern lakehouse architectures (e.g. Delta Lake), • Collaborating with engineers, analysts, and product teams to deliver high-quality data solutions, • Ensuring data quality, reliability, and performance through testing and monitoring, • Contributing to best practices across data engineering and cloud platforms, • Supporting CI/CD and DevOps approaches for data workflows, • Keeping up to date with emerging tools and technologies in the data space Knowledge & Experience • Experience working in data engineering, ideally within cloud-based environments, • Exposure to Databricks or similar modern data platforms, • Understanding of data modelling, warehousing, and pipeline design, • Familiarity with batch and/or streaming data processing, • Awareness of data governance and best practices Technical Skills • Strong Python and SQL skills, • Experience building ETL/ELT pipelines, • Exposure to orchestration tools (e.g. workflows, dbt, or similar), • Experience with version control and CI/CD tooling is a plus Why Join? • Work on meaningful projects that directly impact the future of clean energy, • Be part of a fast-growing, globally connected team, • Learn from experienced engineers and develop your skillset in a supportive environment, • Access to a competitive salary and comprehensive benefits package, • Clear opportunities for career progression as the team continues to scale This is a great opportunity for someone looking to step into a role where they can build, learn, and make an impact, without needing to already be at a senior level. If you're interested, please apply below:

Contract Machine Learning Engineer Duration: Initially 3 months Day rate: £500, Inside IR35 Workplace: Remote, with occasional travel to client-site Inara are supporting a consultancy-led team delivering production-grade machine learning platforms for a range of end clients, and they’re looking for a senior, hands-on Contract ML Engineer to help take ML systems from experimentation into reliable, scalable production. This role is firmly focused on ML enablement and platform engineering rather than model research. You’ll be the person ensuring models can be trained, tracked, deployed, governed, and monitored properly in real-world environments. What you’ll be doing • Designing and building end-to-end MLOps platforms that support the full ML lifecycle, • Implementing and operating MLflow for experiment tracking, model registry, and versioning, • Enabling production deployments of ML models (batch and/or real-time), • Putting robust CI/CD pipelines in place for ML workflows, • Partnering closely with Data Scientists to move models from notebooks into production, • Establishing best practices around model governance, monitoring, retraining, and environments, • Integrating ML platforms with Databricks and cloud-native services What we’re looking for • Strong, real-world MLOps experience (this is not a theoretical role), • Deep hands-on MLflow experience — this is essential, • Proven track record of productionising ML models across multiple client or project environments, • Background in one or more of:, • MLOps / ML Engineering, • DevOps with ML platforms, • Data Science with a strong production focus, • Experience designing, supporting, and operating ML systems in production Technical environment (experience expected across most of these) • Python (expert-level), • Databricks, • Cloud platforms (AWS preferred; SageMaker exposure a bonus), • CI/CD for ML workloads, • Docker and Kubernetes, • Infrastructure as Code (Terraform or similar)

Do you want to build AI systems that power real financial intelligence used by hedge funds? Have you deployed LLM or RAG systems into production rather than just prototypes? Are you ready to design agentic AI systems end-to-end in a small, high-ownership engineering team? A London-based alternative data company is hiring an AI Engineer to help build production AI systems used internally and eventually within client-facing products. The company develops machine learning models that estimate company performance before earnings announcements by analysing alternative datasets such as transaction data, digital signals, and web activity. Their platform tracks hundreds of public companies and sells predictive KPI insights to hedge funds and institutional investors. The team is small and highly technical, offering engineers significant ownership across architecture, tooling, and product development. This role will focus on designing and deploying end-to-end LLM systems, initially building internal AI tools and automation systems before expanding into client-facing AI products. Key Responsibilities • Design and deploy RAG pipelines for knowledge retrieval and reasoning, • Build agentic AI workflows using frameworks such as LangChain or similar, • Develop LLM microservices using Python frameworks such as FastAPI or Flask, • Build internal AI tools including chatbots, automation systems, and workflow assistants, • Deploy AI services on AWS infrastructure and manage reliability and monitoring, • Work with vector databases and orchestration frameworks for LLM systems Key Details • Comp: £60,000–£95,000, ~15% bonus, equity, • Working model: Fully remote (UK) with occasional team gatherings, • Tech stack: Python, LangChain, RAG systems, AWS, vector databases, • Visa sponsorship: This role cannot sponsor Interested? Please apply below.

Staff Machine Learning Engineer – | 3 Roles | UK Remote I'm working with a fast-growing, PE-backed SaaS business that has just launched a world-leading AI product — and they're expanding their AI/ML engineering team with three Staff-level hires. All three roles sit on the same product, the same stack, and the same mission. The difference is your specialism. ────────────────────────── 𝟭. Staff SE – Agentic AI Leading the design of multi-agent systems and LLM orchestration patterns. If you've built and shipped complex agentic workflows end-to-end, this one's for you. ▸ LangGraph · Pydantic AI · Agent SDK · LLMOps 𝟮. Staff SE – Information Extraction Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale. ▸ NLP · Document AI · Data Pipelines · Evals 𝟯. Staff SE – MLOps / DevOps for AI Shaping the infrastructure behind model serving, training pipelines, LLMOps, and AgentOps across the full AI stack. ▸ MLFlow · Databricks · Datadog · Terraform ────────────────────────── What all three roles require: • 7+ years in AI/ML engineering, shipping models in production, • 3+ years in a Staff-level or senior technical leadership role, • Hands-on AWS (Bedrock, SageMaker) and/or GCP Vertex AI, • Strong Python; Java or Rust a bonus, • Experience with LLMs, evaluation frameworks, and agentic AI patterns, • Docker, K8s, Terraform, CI/CD, • A collaborative leadership style — mentoring engineers, shaping best practices ────────────────────────── Core stack: Python · Rust · Java · Amazon Bedrock · SageMaker · Vertex AI · LangGraph · Pydantic AI · LangFuse · MLFlow · Databricks · Datadog · Claude Code · Docker · K8s · Terraform · Vector DBs · Graph DBs ────────────────────────── UK Remote Competitive Salary and benefits Not eligible for visa sponsorship ────────────────────────── Interested? Please apply, or know someone who might be? Drop me a DM • Seniority Level, • Not Applicable, • Industry, • Software Development, • Employment Type, • Full-time, • Job Functions, • Engineering, • Skills, • Artificial Intelligence (AI), • Large Language Models (LLM), • Machine Learning, • Technical Leadership, • Multi-agent Systems, • AWS SageMaker, • Amazon Web Services (AWS), • Python (Programming Language), • LangGraph, • Amazon

Staff Software Engineer – AI/ML (Agentic AI) Engineering | UK Remote / London (hybrid) Overview My client is a fast-growing, product-led technology company investing heavily in AI and next-generation machine learning solutions. They are seeking a Staff Software Engineer with experience in agent-based AI systems to help design and deliver advanced AI-driven products. The Role This is a hands-on technical leadership role focused on building scalable AI/ML systems, with a particular emphasis on agentic AI and modern machine learning approaches. You will play a key role in shaping technical direction, establishing best practices, and delivering high-quality systems from concept through to production. The role also involves mentoring engineers and contributing to the growth of a high-performing team. Key Responsibilities Project Ownership • Lead the design and delivery of AI/ML initiatives across the full lifecycle, • Build and deploy models, data pipelines, and production systems Cross-Functional Collaboration • Work closely with Engineering, Product, and DevOps teams, • Support integration of AI capabilities into wider platforms Technical Leadership • Provide guidance on AI/ML frameworks, tools, and best practices, • Contribute to the development of agent-based AI systems and workflows Mentorship & Communication • Mentor engineers and support technical development, • Promote strong collaboration across teams Problem Solving & Optimisation • Identify and resolve challenges in AI/ML systems, • Improve performance, scalability, and reliability Governance & Quality • Ensure high standards around model performance, data quality, and compliance Documentation & Knowledge Sharing • Maintain clear documentation and contribute to internal best practices Skills & Experience • 7+ years’ experience in AI/ML engineering, including production systems, • 3+ years in a technical leadership role, • Strong programming skills (e.g. Python or similar), • Experience with machine learning, data pipelines, and scalable systems, • Knowledge of modern AI approaches, including large language models and agent-based systems, • Experience working with cloud platforms (AWS, GCP, or Azure), • Understanding of distributed systems and scalable architectures, • Experience with CI/CD, microservices, and MLOps practices, • Ability to mentor and support engineers, • Strong collaboration and communication skills, • Experience working in Agile environments, • Degree in a relevant technical field (or equivalent experience) Tech Environment (indicative) • Backend languages (e.g. Python or similar), • Cloud platforms (AWS / GCP / Azure), • Containerisation and orchestration tools, • Infrastructure as code, • Observability and ML tooling, • Modern AI/LLM frameworks, • Relational and non-relational databases, • Version control and CI/CD tooling Benefits • Competitive salary, • 25 days’ annual leave + bank holidays, • Sick pay package, • Flexible / remote working, • Enhanced parental leave, • Pension scheme, • Career development opportunities Additional Information This role is not eligible for visa sponsorship.

Senior ML & AI Engineer Remote Up to £80,000 About the Role We’re partnered with a fast-growing tech startup focused on how brands and retailers use data. Their AI platform brings together data science, immersive visualisation, and large-scale machine learning to optimise product ranges, plan shopper journeys, and drive smarter commercial decisions. They’re now looking for a Senior ML & AI Engineer to join their lean, high-impact engineering team. This is a pivotal role at the intersection of ML engineering, backend systems, and LLM integration - ideal for someone who thrives in fast-paced, hands-on environments where ML systems are core. Responsibilities • Design, build, and maintain scalable backend systems that power advanced ML and LLM applications., • Develop and manage end-to-end MLOps pipelines with automation, reproducibility, and scalability at their core., • Deploy and monitor machine learning and LLM models in production, identifying model drift and performance issues., • Drive research and development in modern ML, AI, and LLM approaches, applying SOTA techniques in a real-world setting., • Champion clean, maintainable, and well-documented code following best engineering practices. What We’re Looking For • Strong academic background in Computer Science, ML, AI, or a related field., • Deep hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)., • Proven background in MLOps, including model versioning, CI/CD for ML, and production monitoring., • Experience building robust backend systems and APIs to serve ML models at scale., • Strong understanding of big data technologies and data orchestration tools (Airflow, DBT)., • Familiarity with LLM integration and optimisation in production environments., • Excellent problem-solving, analytical, and communication skills., • Experience fine-tuning LLMs (e.g. Unsloth, cloud-based methods).

Senior AI Engineer (NLP / LLMs) – remote (UK based) £70-100k depending on experience A high-growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory requirements into scalable, reliable AI systems. This is a hands-on role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery. What You’ll Be Doing • Designing and developing NLP and LLM-driven solutions for complex, real-world use cases, • Fine-tuning and adapting foundation models using domain-specific data, • Building evaluation frameworks, prompt testing tools and data preprocessing pipelines, • Monitoring, optimising and maintaining deployed models for performance, cost and reliability, • Implementing explainability, fairness and bias-mitigation strategies, • Collaborating on MLOps pipelines, CI/CD workflows and production deployments, • Mentoring junior engineers and promoting best practices across the team, • Staying current with advances in AI, NLP and MLOps to drive continuous improvement What We’re Looking For • Proven experience as an AI or Machine Learning Engineer with end-to-end model ownership, • Strong expertise in NLP and LLMs (transformers, fine-tuning, RAG, agents), • Experience translating research and experimentation into production systems, • Solid understanding of MLOps, including CI/CD, monitoring and model lifecycle management, • Hands-on experience with Docker and Kubernetes, • Experience working in regulated or sensitive domains, • Exposure to graph-based retrieval techniques, • Experience with Azure ML and DevOps integrations

Data Engineer Remote UK Salary: £45,000 - £55,000 This is an exciting opportunity to step into a high-impact Data Engineering role within a fast-scaling data and machine learning environment. You will sit at the core of the engineering function, working closely with a large data science group and shaping the foundations of their internal tooling and pipelines. The Company They are a rapidly growing data and analytics organisation operating in the alternative data and machine learning space. Their platform powers KPI prediction models used by investment-focused clients, and they have built a strong engineering culture to support a substantial data science function. With significant recent investment and continued growth, they are now expanding their ETL and automation capabilities to strengthen internal workflows and infrastructure. The Role You will focus on building, maintaining, and optimising internal ETL pipelines and workflow automations that support data scientists and enable reliable, scalable reporting. Key responsibilities include: • Designing and maintaining custom ETL pipelines in a cloud-native environment., • Automating internal processes and integrations across tools and APIs., • Supporting workflow orchestration using technologies such as Airflow or AWS Step Functions., • Containerising and deploying services using Docker., • Collaborating with data scientists to streamline their data workflows., • Contributing to improvements across orchestration, tooling, and internal engineering processes. Your Skills and Experience • Strong commercial experience with Python and common data libraries., • Proven ability to build and maintain ETL pipelines., • Hands-on experience with AWS services., • Experience with Docker and containerised workflows., • Familiarity with workflow orchestration tools., • Comfortable integrating with APIs and external tooling., • A practical, delivery-focused approach with the ability to own tasks end to end. How to Apply If this sounds like your next step, please send your CV to register your interest.

Location: Remote (UK or Greece) Salary: Competitive, based on experience Job Type: Full-Time Working for Krotos We revolutionize sound creation by making Hollywood-quality sound accessible to everyone. Our groundbreaking software, featured in blockbuster productions like Avengers and Game of Thrones, empowers creators to design high-quality sound faster and more intuitively. Our mission is to change the way people design and perform sound. As a fast-growing, remote-first company, we are pushing the boundaries of creativity and innovation in content creation. The role Join our R&D team as an ML specialist to research, develop and ship technologies that change how people create sound. We're building systems that understand, manipulate and generate audio in ways that feel genuinely intuitive to professionals and we're nowhere near done. You'll own problems end-to-end, from identifying the right approach to getting it in front of customers, working closely with product to make sure what we build actually matters. Key objectives • Research and develop multimodal AI technologies that improve the way people work with sound, • Build and optimise LLM-powered audio pipelines and extend our Qwen-based vision model for audio production use cases, • Identify opportunities to apply the latest advances in generative AI and multimodal research to the professional audio field Responsibilities • Work within the team and research engineers to solve problems for film makers & sound designers, • Design and maintain backend inference systems that meet the latency and quality demands of professional audio workflows, • Collaborate with product and engineering teams to implement ML research in commercial products, • Work with the product owner to identify where ML creates the most value for customers, • Clearly and effectively communicate ML concepts, model behaviour and tradeoffs to the wider business, • Provide technical guidance on model architecture, fine-tuning strategy and deployment decisions Skills and experience Essential: • A degree in a relevant field or extensive professional experience, • Experience in commercial machine learning research and development, • Strong hands-on experience fine-tuning and adapting large language models (LoRA, QLoRA, PEFT, DPO/RLHF), • Experience working with data, training and evaluating machine learning models, • Experience with multimodal architectures — audio-language, vision-language, or both, • Extensive audio and signal processing knowledge — spectral features, neural codecs, generative audio models, • Experience deploying models to cloud inference (AWS or GCP) with awareness of latency and cost tradeoffs, • MLOps competency — experiment tracking, model versioning, evaluation pipelines, ML CI, • Experience with Python and modern ML frameworks (PyTorch, JAX), • Excellent verbal and written English communication skills, • Excellent analytical and problem-solving skills, • A desire to innovate and push current practice Desirable: • Experience with vision-language models, particularly Qwen-VL or similar, • Experience with Agile software development practices, • Familiarity with VST/AU plugin architectures and real-time audio constraints, • Experience delivering ML technologies shipped in commercial audio software, • Knowledge of sound design and audio post-production workflows, • C++ reading ability, • Previously registered audio machine learning patents Team Core Values Inventive. Driven. Transparent. Our values define who we are and how we work: • Honesty & Transparency: We communicate openly, share the truth even when it’s difficult, and build trust through clarity, • Team Player: We collaborate, support each other, and put collective success above ego, • Problem Solver: We face challenges head-on and find creative, practical solutions., • Open-Minded: We listen to others, consider different perspectives, and recognise the complexity of good decisions, • Politeness & Respect: We treat colleagues and customers with courtesy and professionalism, • Curiosity & Growth: We love learning, experimenting, and continuously improving, • Data-Driven: We let insights and evidence guide our decisions, not guesswork, • High Standards: We take pride in excellence and pay attention to the details that matter, • Strong Work Ethic: We commit, follow through, and work hard to achieve ambitious goals Benefits • Competitive salary and benefits package, • Private health insurance, • Opportunities for professional growth and development, • Flexible, remote working environment, • Access to cutting-edge technology and tools, • Exciting projects in a fast-growing, innovative company Next steps Send your CV and a cover letter to explaining why you are the best candidate for this role, referencing the requirements above and including two to three brief examples of relevant results. Note: All offers are subject to eligibility to work in the UK or Greece and satisfactory references. At Krotos, we value diversity and are committed to fostering an inclusive environment. We encourage applications from candidates of all backgrounds. Reasonable adjustments are available throughout the application and interview process.

Sports Senior Software Platform Engineer (Multiple roles, various seniority) | Sports Data We're also looking for PhD Sport Researchers, Quantitative Sports Modellers & Sports ML Experts We’re helping several sports data leaders, specialised in turning complex sporting datasets into actionable insights that drive smarter, evidence-based decision-making. Each team combines technical expertise with a genuine passion for sport, ensuring that the insights they deliver are both rigorous and practical. Build high performance trading and analytics platforms for the future of sports! Basketball, F1, Tennis, Horse Racing, Football (Soccer) and so much more... Essential Skills (Across the court/ track/ ground/ pitch): • Strong programming exposure with Go/ Golang or similar (such as Rust, Java, Kotlin, Python, C#, C++ etc), • Understanding of AWS to build pipelines., • Understanding of high-performance machine critical systems; ideally a sports trading platform or similar (financial trading/ banking/ air traffic platforms etc), • Strong problem-solving mindset with an analytical, systems-focused approach Bonus skills (100-point game, hat-trick, podium finish, Grand Slam): • Proven success with sports data/ the sports trading domain, • Genuine passion for sports and a curiosity-driven approach to understanding sports data Day-to-Day Duties (Throughout the venue): • Design, develop and analyse multiple high-performance sports trading and analytics platforms, whilst enabling global sports data to connect to it simultaneously, • Work with wider teams to add features, improve performance and increase reliability, • Contribute to CI/CD, security and long-term technical direction, • Innovate internal research projects exploring new metrics, analytical methods and applications of sport data Benefits (Beyond the match/ race/ game/ track): • An impact from day one, • Shape the future of sports technology, • Direct involvement with sport and the chance to apply tech to the real-world sporting calendar, • Creative freedom to experiment and innovate, • Supportive, collaborative culture that encourages learning and growth, • A vibrant team culture with a shared passion for sports, • Access to the latest tools and technologies, • Collaborative, flexible, remote first & hybrid working models, • Industry leading packages (competitive salary & bonus), plus an endless list of benefits.

Key Responsibilities: • Lead the design and delivery of end-to-end AI/ML solutions aligned to organisational strategy and operational objectives., • Define scalable, secure, and maintainable AI architectures, covering data pipelines, model lifecycle management, deployment, and monitoring., • Establish architectural standards, design patterns, and engineering best practices., • Provide technical oversight across the full AI lifecycle: concept, prototyping, production deployment, and optimisation., • Review and approve solution designs produced by AI Solution Engineers and wider delivery teams., • Lead, mentor, and develop AI Solution Engineer(s) and associated technical staff., • Set technical direction and ensure consistency in engineering standards across AI initiatives., • Conduct code and design reviews to ensure quality, security, and maintainability., • Identify capability gaps and drive upskilling across the AI team., • Foster a collaborative, high-performance engineering culture., • Own technical delivery of AI solutions, ensuring alignment with scope, timelines, and quality expectations., • Oversee deployment of AI systems into secure or controlled environments., • Ensure compatibility of AI solutions with DevSecOps pipelines and enterprise technology stacks., • Define and monitor performance metrics for deployed models, ensuring operational effectiveness and reliability., • Lead remediation and optimisation efforts when performance, compliance, or operational risks arise., • Embed ethical AI principles, including fairness, explainability, auditability, and transparency, into solution design., • Ensure compliance with data governance, security, and regulatory requirements., • Support accreditation and assurance activities within regulated or defence environments., • Identify, assess, and mitigate technical risks associated with AI deployment., • Translate operational or business requirements into AI-enabled solution approaches., • Engage senior stakeholders, providing clear technical briefings and strategic recommendations., • Contribute to AI capability roadmaps and innovation strategies., • Lead technical input into bids, proposals, or programme planning activities where required., • Conduct horizon scanning to evaluate emerging AI technologies and assess relevance to operational use cases., • Drive continuous improvement of AI engineering practices, tooling, and delivery methods., • Champion adoption of MLOps practices to enhance repeatability, traceability, and scalability. The successful candidate will be a technically astute AI Solution Lead who thrives on engineering execution to realise enterprise goals.You will be responsible for designing and sustaining AI/ML solutions that align with the Army Collective Training Service (ACTS) architectural vision. The AI Solution Lead must possess a deep understanding of AI technologies, with the ability to leverage data insights for model development and optimisation using frameworks such as TensorFlow and PyTorch, while also driving intelligent process automation across the machine learning lifecycle through platforms like Azure Machine Learning. This role is pivotal in aligning AI technology with architecture vision and goals, ensuring secure, interoperable systems to drive and automate data driven decision making. Essential Skills and Experience: • Extensive experience in leading technical teams designing and delivering end-to-end AI/ML solutions from concept to production within regulated or controlled environments., • Strong Python expertise and deep knowledge of ML frameworks, • Experience defining scalable ML architectures, including lifecycle management, monitoring, and resilience strategies, • Experience overseeing deployment using containerisation and orchestration platforms and governing CI/CD and MLOps practices, • Strong understanding of API-led integration within enterprise systems, • Experience embedding responsible AI principles into architectural design, • Strong understanding of secure coding, data protection, and governance frameworks, and experience supporting accreditation or assurance processes, • Accountability for technical risk identification and mitigation, • Experience translating operational requirements into AI-enabled capabilities, • Ability to engage and influence senior stakeholders, • Experience defining AI roadmaps and technical strategy, • Strong decision-making capability balancing innovation, risk, and operational constraints, • Proven experience leading, mentoring, and developing AI/ML engineers, • Strong systems-level analytical thinking, • Ability to operate autonomously with accountability for outcomes, • Degree in relevant discipline or equivalent senior-level experience JBRP1_UKTJ

CNC / EDM Engineer - Glasgow Talent Media are delighted to be working in partnership with a leading high-precision manufacturing business within the advanced engineering sector, as they look to appoint a CNC Operator EDM to join their team at their Glasgow facility. Our client delivers complex, precision-engineered components to highly regulated industries, operating to exceptionally high quality and technical standards. This role will focus on the set-up and operation of EDM (Electrical Discharge Machining) equipment, including both spark and wire erosion processes, ensuring components are manufactured accurately to tight tolerances. Key Responsibilities • Set up and operate EDM machinery (spark and wire erosion), • Load materials and unload finished components, • Adjust machine settings to ensure optimal performance and accuracy, • Interpret and work from technical engineering drawings, • Maintain accurate production records, including machine adjustments and issues, • Conduct routine machine checks and report any faults or safety concerns, • Ensure machines are stocked with tooling and materials to minimise downtime, • Adhere to all health, safety, and quality procedures Skills & Behaviours, • Strong attention to detail with a focus on quality, • Effective communication and team collaboration, • Ability to follow technical instructions and processes, • Proactive and adaptable to production demands, • Safety-conscious approach in a manufacturing environment Qualifications & Experience, • Ideally time-served or experienced in EDM machining, • Experience with 5-axis machining and EDM is highly desirable, • Will also consider candidates with EDM experience alongside another machining discipline, • Ability to read and interpret engineering drawings, • Experience working to tight tolerances on precision components, • Good understanding of manufacturing and safety procedures Whats in it for you?, • £22.01 per hour + shift allowance, • 37 hours per week, • Three-shift rotation (early, back, night shift), • Day shift for the first 4 weeks during training, • Full-time, permanent opportunity, • Company benefits including pension, life insurance, private medical healthcare, prescription safety eyewear, and employee retail discounts, • 33 days holiday including Christmas shutdown, • Access to online learning and development platforms Apply today or contact Talent Media for a confidential conversation. JBRP1_UKTJ

Graduate Trainee Sales Engineer - Field Based (SO, PO, RH, GU Postcode Areas) Location: Applicants must currently live within one of the following postcode areas - SO, PO, RH, or GU - covering key towns such as Southampton, Portsmouth, Chichester, Worthing, Crawley, Guildford, Farnham, and Woking. Salary: Competitive basic + performance-based bonus + company car + full training + career development Are you an ambitious engineering graduate looking to build a rewarding career in technical sales? We're recruiting on behalf of a market-leading engineering solutions company for a Graduate Trainee Sales Engineer to join their expanding field sales team. This role is ideal for a self-motivated, technically minded individual who enjoys working independently and building customer relationships. The company provides industrial electronics and mechanical repair solutions to manufacturers designed to save them time and money by extending machine life by repairing and refurbishing complex items which a standard industrial maintenance team would not have the time or expertise to carry out themselves. In nearly all cases they can save their customers considerable expense and as a result they have become a valued business partner for many of their customers. The primary customers are Engineering and maintenance managers within the manufacturing sector. What you'll be doing: • Developing new and existing customer relationships across your field territory encompassing the SO, PO, RH, and GU postcode areas., • Visiting engineering and manufacturing clients to identify technical needs and propose solutions.Getting on site to spot opportunities is a key step in their sales process., • Managing your own diary, appointments, and reports with support from a dedicated regional manager., • A recent engineering, electronics, or related technical graduate (HNC, HND, or degree)., • A driven self-starter with strong communication and problem-solving skills who is strongly results oriented., • Must hold a full UK driving licence and currently reside within the SO, PO, RH, or GU postcode areas to be considered., • Fully structured training programme - including comprehensive sales and product training with on-the-job mentoring., • Company car, laptop, and mobile phone provided from day one., • Competitive basic salary with performance-based incentives experienced sales engineers with established sales territories are earning £1500-£2000 per month in commissions. JBRP1_UKTJ

SW Engineer (Distributed Computing, AWS, Python, C#/C++) Oxford - 3-4 days per week in office. £45000 - £68000 + Package. • Must have a Computing/STEM Degree (2:1 or higher)., • Can work in their Oxford head office 3-4 days week. 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 JBRP1_UKTJ

My client, undoubtedly one of the most exciting start-ups in the AI + Semiconductor space is looking for a Principal Analog Verification Engineer to join their team in Oxford. This role could also be based fully remotely, plus a superb salary. If you’re looking to do something completely different and really make an impact, read on. With substantial financial backing and a strong roadmap ahead of them, my client has the potential to completely transform semiconductor development. With a machine learning group already in place, they are now building a new analog team and seek an experienced Analog IC engineer with the desire and capability to shape and grow this new group. As the Senior / Principal Analog Verification Engineer you will be tasked with driving the creation of a machine-learning analog verification flow, creating and simulating transistor level circuits, as well as debugging and rectifying simulation and modelling issues. Our client is aiming to build a strong team, and so you will be key in helping to identify, recruit and mentor future Analog Verification Engineers. The key essentials are: • A BSc / MSc / PhD qualification within Electronic Engineering or similar, • Extensive industry experience within either Analog IC Design or Analog Verification, • A strong handle on Verilog-A (SystemVerilog would be an added bonus), • A background working within the power management space I’m looking for a great communicator who is excited to roll up their sleeves and help shape this fast-growing startup. An exceptional salary is on offer for the right candidate – my client can hire at Senior or Principal level. If this sounds like you, get in touch! Contact Caroline Pye @ IC Resources.

Barclays Glasgow, Scotland, United Kingdom. Join our innovative AI/ML team at Barclays Corporate Bank as a. As part of Barclays' strategic AI/ML initiative, our team plays a vital role in establishing the corporate bank as a leader in financial data analytics innovation.

This role will focus on two new internal projects, requiring excellent Python programming skills and experience with message queues and REST API development. A technology consulting firm is looking for a Machine Learning Engineer to join their team in Glasgow, Scotland.

Hands‑on experience with Generative and Agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ADK, or similar. We're seeking an AI engineer who can design, build, and operationalise advanced AI, Machine Learning, and Generative AI systems at enterprise scale. Experience with

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI success Step 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. Your guaranteed future After completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. We guarantee a job offer upon completion or 100% of your course fees refunded. We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. At a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £124, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Ready to future-proof your career? If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps. ‘Please note that this is a training course and fees apply

Job Title: Senior Python ML Engineer Location: Central Scotland (3-days per week on-site) Rate: £450 - £500 per day, inside IR35 (dependent on experience) Duration: 12 months Tec Partners are working with a world-leading technology client who are currently looking for an experienced Senior Python ML Engineer, to work on assignment with a global, enterprise customer. As a Senior Python ML Engineer, you will bring extensive Python development experience and Machine Learning expertise, along with a track record of building solutions from scratch. What they are looking for: Extensive Python development experience Strong Machine Learning experience Experience creating REST APIs Experience with message queues Experience working with large data setsThis is an exciting opportunity for an experienced Senior Python ML Engineer to join a truly world-class business, which will give you access to incredible learning and development opportunities, and work on assignment with an equally exciting customer. If you are a Senior Python ML Engineer, or similar, with the skill set listed above, then get in touch right away to find out more! If you are interested in this position or would like to discuss further, please send your CV for immediate review

Job title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating full

Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects. You can successfully manage and coach a team of engineers, setting team‑wide development goals to improve client delivery. Driving the development of shared resources a

Strong experience as a backend software engineer, machine learning engineer, or applied data scientist. Crossing Hurdles is a recruitment firm connecting experienced backend engineers with leading AI research labs to advance intelligent systems through coding benchmark development. Degree in Softwar

Are you passionate about bringing machine learning solutions into real‑world production environments? Do you enjoy collaborating with others to build scalable, reliable systems? We are looking for a Machine Learning Ops Engineer to join our growing team. Deploying, monitoring, and scaling machine

Senior Machine Learning Engineer – AI Data Trainer. Senior Machine Learning Engineer – AI Data Trainer. Significant experience in Machine Learning or related technical fields, with a focus on model reasoning.

Senior Machine Learning Engineer. As a Senior Machine Learning Engineer, you'll be at the forefront of developing sophisticated time series forecasting solutions that drive business value and market insights. Design, develop, and deploy machine learning models using AWS SageMaker.

As a Machine Learning Test Engineer, you will play a critical role in scaling and advancing testing infrastructure for large-scale AI projects. Proven experience with modern machine learning frameworks (e. You will work on complex, high-volume test suites across multiple platforms, ensuring that mac

NVIDIA is seeking engineers to develop algorithms and optimizations for our inference and compiler stack. You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads map onto future NVIDIA platforms. MS or PhD in Computer Science, Ele

You will work within a dynamic, interdisciplinary team of software engineers, data scientists, and machine learning engineers to productionize cutting‑edge research and directly influence the technical direction of our platform. We're looking for a highly skilled Machine Learning Engineer to join

Strong knowledge of machine learning, deep learning (including LLMs), and natural language processing. Machine Learning Engineer | Python | Pytorch | Natural Language Processing | LLM | Large Language Models | Remote, Europe. A Master's or PhD in Computer Science, Machine Learning, Mathematics, Stat

Engineer Principal, Artificial Intelligence / Machine Learning. Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or related field (required). AI/ML engineering, applied machine learning, or advanced analytics.

Strong knowledge of machine learning algorithms and model evaluation techniques. Design, build, train, and evaluate machine learning models. Understanding of data preprocessing, feature engineering, and model optimisation.

Senior Machine Learning Engineer II. Senior Machine Learning Engineer II. Create tooling that allows other engineering teams to.

We are a Machine Learning/Data heavy team with a focus in the following areas:. As a Senior ML Engineer , you’ll be in charge of the full cycle execution of content understanding projects - from collaborating with cross-functional teams on requirements and design to the implementation to the exper

Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients. You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices. Defining and implementi

Senior Machine Learning Operation Engineers. You’ll work closely with different teams such as Data Science, Data Engineering, Architecture, and Software Development to ensure efficient operation and use of Data Science models and will facilitate the full life cycle of machine learning models from

Deep understanding of state-of-the-art machine learning methodologies and proven experience in translating them into practical solutions.

This role will join an existing, high performing team of Machine Learning experts and be responsible for the productionisation of Machine Learning Models within Pricing. Senior Machine Learning Operations Engineer. Exciting new Senior Machine Learning Operations Engineer position for a fast growing

We are looking for an unrelenting Senior/Lead Engineer to bridge the gap between infrastructure, UX, and machine learning to ship these groundbreaking features to our global customer base. Deep knowledge of server-side architecture and Machine Learning. Join a team of world-class researchers and eng

As a Senior Machine Learning Research Engineer in Speech/Audio/Gen-AI, you will:. Deep understanding of machine learning and deep learning fundamentals, including various architectures, training techniques, and evaluation metrics. Proficiency with machine learning frameworks such as TensorFlow or Py

Machine Learning Engineer II, Marketing Testing. We are seeking a Machine Learning Engineer to work on two key areas within our marketing analytics team. Foundational knowledge in machine learning principles and statistical methods.

Trainee / Junior Machine Learning Engineer – Remote | Entry Level AI Role | Hiring Now. Trainee and Junior Machine Learning Engineers. Machine Learning, Artificial Intelligence, Data Science, and Python development.

Machine Learning Engineer for a 12-24 month contract. Design, optimise and operate robust end‑to‑end machine learning pipelines within the Databricks environment on Azure. Implement governance and observability, integrating compliance, monitoring and audit features across the full machine learni

Our AI-first platform is transforming how care is delivered, combining advanced machine learning with intuitive product design to make healthcare more personalised, efficient, and scalable. Collaborate with product and engineering teams to deliver impactful, scalable AI features. Senior AI Engineer