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Trainee AI Engineer Placement Programme

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you’re between jobs and ready for a fresh start? ITOL Recruit’s AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £30,000–£45,000 We Get You Hired! We’re not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don’t believe in empty promises. Complete our programme, follow the process, and if you don’t land a job, you get your money back. “Five months from complete beginner to AI engineer. Best decision I ever made.” – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

+3

Senior Full-Stack AI EngineerContract - Outside IR353 Days a Week Onsite in Harwell CampusInitial 3 Month Contract with scope to extendPlease apply for the full details.Role OverviewMy client is seeking a full-stack AI/ML engineer with deep expertise in agentic AI frameworks such as LangGraph (or equivalent) and proven commercial experience building complex, multi-agent systems with more than at least four agents.This role blends cutting-edge AI research with hands-on deployment leadership . You will design and optimise agent-based AI pipelines, deploy them into cloud and edge environments, and own the infrastructure that keeps them secure, scalable, and cost-efficient. You will be as comfortable in a Jupyter Notebook as you are in a Terraform config, with the ability to turn research ideas into production systems that run reliably in constrained environments.Key ResponsibilitiesTo include, but not limited to:AI & Agentic DevelopmentArchitect, build, andoptimisemulti-agent AI systems usingLangGraphor similar frameworks.Integrate LLMs into agent workflows for search, reasoning, and automation at scale.Conduct applied research in LLMs, NLP, and agent orchestration, with a focus on edge and offline deployments.Build production-ready ML pipelines from ingestion to inference.Infrastructure & DeploymentImplement, andmaintainmulti-account, multi-region AWS environments usingIaC(Terraform, Helm, CloudFormation).ManageKubernetes clusters (EKS/OpenShift), service meshes, and container registries.Implement GitHub Actions / Argo CD pipelines for automated, zero-touch deployments.Lead security hardening efforts usingGuardDuty, CloudWatch, IAM best practices.Set up observability stacks for proactive monitoring and performance tuning.Own backup, disaster recovery for services thatyou ’ ve created.Cross-Functional & ProcessCollaborate closely with other engineers, productmanagersand CTO.Mentor engineers on agentic AI design best practices.Present technical findings and research outcomes to technical and non-technical stakeholders.You’ll be working at the intersection of advanced AI research and real-world infrastructure, shaping how my client brings agentic AI systems to production in challenging environments. If you thrive on building multi-agent systems, deploying them securely at scale, and experimenting with new ways to run AI at the edge, you’ll find both the technical depth and creative freedom you’re looking for here.Required Skills & ExperienceMOD Security Clearance (or ability to obtain).Commercial experience delivering LangGraph or equivalent agentic AI projects with more than four agents in production.Strong grasp of multi-agent orchestration, memory, and tool integration.Proficiency in Python for AI development and Bash/Go for automation.Familiarity with AWS core services (EC2, VPC, IAM, S3, ALB/ELB, CloudFront, ECR/ECS, Elastic Beanstalk, Control Tower).Familiarity with IaC (Terraform, Terraform Cloud, CloudFormation) and expertise in containerisation (Docker, Docker Compose).Solid CI/CD engineering with GitHub Actions and/or Argo CD.Preferred / BonusResearch experience in edge AI or constrained/offline deployments.MLOps experience (Sagemaker, Kubeflow, ZenML).Experience building RESTful services around AI pipelines.ISO 27001, NIST SSDF, OWASP SAMM, or GDPR compliance literacy.Experience with AWS Karpenter, Prometheus, or similar observability stacks.Soft SkillsResearch-driven mindset, eager to experiment and iterate.Able to bridge the gap between cutting-edge AI research and practical deployment.Strong communicator with the ability to mentor and influence across teams.Comfortable owning projects from concept through production deployment.Benefits include :Rapid career progression and personal growthOpportunity to shape the future of a fast-growing, successful, early-stage businessFlexible working hoursHybrid working modelMy client is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self.TPBN1_UKTJ

HPC Containerisation - HPC Expert (Principal Consultant)

Location: Hybrid working

Onsite location: Derby, DE24 8PU

Duration: Monday 19th January 2026 - Friday 13th February 2026 Inside IR35Security Requirements (Mandatory):

SC Cleared

UK Nationals only

Role OverviewWe are seeking an HPC Containerisation Expert to provide specialist consultancy around high-performance computing (HPC) environments, with a strong focus on containerisation for HPC and ML workloads.The consultant will assess existing HPC infrastructure, advise on best-practice container strategies, and engage with technical teams to shape future containerisation approaches for HPC use cases.This role is urgent and requires immediate availability.Key Responsibilities

Provide expert consultancy on HPC containerisation strategies

Review and assess current HPC infrastructure and workloads

Advise on best practices for MPI-optimised container images

Support and guide container tooling and runtime decisions for HPC environments

Conduct workshops and structured discussions with technical teams covering:

HPC infrastructure and use cases

Containerisation capabilities for HPC and ML workloads

Software Development Life Cycle (SDLC) considerations

Contribute to written outputs and findings for stakeholder review

Essential Skills & Experience (Must Have)

Active SC Clearance

UK National only (no dual nationality/no OCI)

Proven HPC background

Experience using Beowulf clusters

Strong knowledge of Slurm Job Scheduling

Excellent knowledge preferred

Good working knowledge acceptable

No Slurm knowledge = not HPC trained

Experience with MPI-optimised container images, including:

OpenMPI with Apptainer (SIF)

Podman/Buildah tooling

Comparable container build and runtime technologies

Candidates with strong CFD or scientific computing backgrounds (eg modelling) may compensate for less Slurm depth

Desirable Experience

Ability to conduct technical interviews with engineering or research staff

Leading or contributing to containerisation capability workshops

Experience supporting typical HPC and ML workloads

Familiarity with:

MPI-based workflows

Jupyter ecosystem (JupyterHub, JupyterLab, Notebooks) for data science workflows

Nice to Have

Experience producing written reports and technical findings, including:

Market view of container technologies for HPC use cases

CFD software such as OpenFOAM

Docker

Kubernetes as an HPC runtime environment

Run:AI and GPU slicing

Senior Software Engineer

+4

Our client, a leader in the defence and security sector, is currently seeking a Senior Software Engineer with advanced security clearance to join their cutting-edge team. This permanent role offers an exciting opportunity to work on innovative solutions that redefine defence technology. Key Responsibilities: Design, implement and test solutions to complex customer problems across the development lifecycle Develop software for a range of areas including bare-metal MCU, signal processing, Embedded Linux, and GUI development on Windows, Linux, and mobile platforms Utilise various programming languages such as Rust, C/C++, Python, and web development frameworks Work with FPGAs, electronic design, and mechanical design Collaborate closely with team members in an agile environment to balance requirements, schedule, and cost Produce comprehensive documentation from requirements to design and testing materials to support developments Ensure compliance with Government regulations by managing the security of information as defined in the Security manual Job Requirements: Degree in an engineering, mathematical, or science-based subject or equivalent experience Experience in at least one of the following areas: Embedded Linux application, kernel, and/or driver development C/C++ or Rust programming Proficiency in best practice software development processes/lifecycles Experience in Object-Oriented Design and Design Patterns Knowledge of software testing and design for test Desirable Experience, Skills and Qualifications: GUI development frameworks such as eGUI, GTK, Tauri Yocto, Petalinux, and uBoot Python, Jupyter Notebooks, or Matlab Web development languages (HTML, Javascript, Typescript, React) IOS/Android development Experience with communications protocols - TCP, QUIC, WiFi Knowledge of GNU Radio and Software Defined Radios Experience with FPGAs and exposure to hardware UML design and tools such as Enterprise Architect Security Clearance: Must hold DV (UKDV or MOD DV) security clearance If you are an experienced software engineer seeking a challenging role within the defence sector, we would love to hear from you. Apply now to join our client’s dynamic and innovative team

Senior Software Developer

Jonathan Lee Recruitment Ltd

Senior Software Engineer Locations: Onsite in Farnborough Job Type: Full Time Join the team redefining defence technology This organsiation engineer systems that save lives and deliver technologies that shape the future of defence. At the forefront of advanced cryptographic and key management solutions, enabling the secure exchange of critical information at both tactical and strategic levels. If you want to work on complex, meaningful problems in highly secure and demanding environments, this is your opportunity to make a real impact. The Role As a Senior Software Engineer, you will be part of a small, multi-disciplinary engineering team developing innovative solutions to complex customer challenges. Your work will span the full development lifecycle — from early research and rapid prototyping through to mature, fully released products. You will work flexibly across technologies, frameworks, and programming languages, collaborating closely with hardware, electronics, and mechanical engineers to deliver highly differentiated solutions. Key Responsibilitie Design, implement, and test software solutions across the full development lifecycle Develop software across a wide range of platforms, including: Bare-metal MCUs and signal processing Embedded Linux GUI development on Windows, Linux, and mobile platforms Data analytics using Jupyter Notebooks Program in languages appropriate to the solution, including Rust, C/C++, Python, and modern web frameworks Interface and collaborate with FPGA, electronic, and mechanical design teams Work in an agile environment, balancing requirements, schedule, and cost Produce high-quality documentation covering requirements, design, and testing Ensure secure handling of information in compliance with government and company security regulations Essential Requirements Eligibility for Developed Vetting (DV) Security Clearance Degree in an engineering, mathematical, or science-based discipline (or equivalent experience) Experience in at least one of the following: Embedded Linux application, kernel, or driver development C / C++ or Rust Strong understanding of: Software development lifecycles and best practices Object-Oriented Design and design patterns Software testing and design-for-test principles Desirable Skills & Experience GUI frameworks such as eGUI, GTK, or Tauri Yocto, PetaLinux, uBoot Python, Jupyter Notebooks, or MATLAB Web technologies: HTML, JavaScript, TypeScript, React iOS / Android development Communications protocols: TCP, QUIC, Wi-Fi GNU Radio and Software Defined Radio (SDR) FPGA development and exposure to hardware design Why this organisation? Work on cutting-edge cyber and defence technologies Be part of a highly skilled, collaborative engineering team Solve real-world problems in mission-critical environments Competitive salary and benefits package Opportunities for growth, learning, and long-term career development Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency. In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included

IT Principal Consultant - Active SC, HPC, BeowulfUp to £610 (Inside IR35)5 days onsite20 day contractWe are seeking an experienced HPC Expert to lead containerisation initiatives for high-performance computing environments. The role involves advising on best practices, optimizing HPC workflows, and engaging with customers through workshops and technical interviews.Key requirements:

Proven active as an IT Consultant with Active SC (Security Clearance)

Hands-on experience with Beowulf clusters

Strong knowledge of Slurm Job Scheduling

Expertise in MPI-optimized container images, including: OpenMPI with Apptainer (SIF) and Podman/Buildah tooling

Nice to have:

Ability to conduct HPC infrastructure interviews and containerisation workshops

Familiarity with SDLC, Jupyter ecosystem, and MPI

Knowledge of: Singularity, SIF format, HPC workflows, CFD software (e.g., OpenFOAM), Docker, Kubernetes as HPC runtime, Run:AI and GPU slicing

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

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Frequently asked questions

What types of Jupyter-related jobs are available on Haystack?

Haystack features a variety of Jupyter-related jobs including data science roles, machine learning engineer positions, research scientist jobs, and software developer opportunities that require expertise in Jupyter notebooks.

Do I need to be an expert in Jupyter to apply for these jobs?

While expert knowledge of Jupyter can be beneficial, many roles require familiarity with Jupyter notebooks along with other skills such as Python programming, data analysis, or machine learning. Job descriptions will specify the required skill level.

Can I filter Jupyter jobs by location or remote options?

Yes, Haystack allows you to filter Jupyter job listings by location, including remote, to help you find the best opportunities that match your preferred working style and geographic preference.

Are internships or entry-level positions related to Jupyter available?

Yes, Haystack regularly lists internships and entry-level jobs that involve working with Jupyter notebooks, which are ideal for candidates looking to start their career in data science or related fields.

How do I prepare for technical interviews for Jupyter jobs posted on Haystack?

Preparation typically involves brushing up on Python programming, data manipulation, and visualization techniques using Jupyter notebooks. Practicing coding challenges and reviewing common data science concepts can also be helpful.