Job Description

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 £28,000-£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 £28,000–£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.

Please note this is a training course and fees apply

Our client is a pioneering technology company delivering laser communications and temporospatial software-defined networking platforms to the aerospace and space industry. Leveraging technology originally developed at a major global tech firm, they are leading innovation in satellite, airborne, cislunar, and deep-space mesh networks.

They are transforming how planetary-scale networks are orchestrated and managed across land, sea, air, and space.

The Role Our client is looking for a Machine Learning Engineer to join their Spacetime team. This is a hybrid role combining ML research and engineering, focused on solving some of the most complex temporospatial networking and resource management problems in the industry.

Youll work at the cutting edge of AI-driven networking and space systems, collaborating with engineers, researchers, and customers globally.

Key Responsibilities Research and develop state-of-the-art ML algorithms for network orchestration

Build and manage ML training infrastructure using Kubernetes and MLOps tools

Develop and maintain documentation for new algorithms and systems

Integrate AI/ML solutions into the wider Spacetime platform

Act as a technical expert when engaging with customers on ML technologies

Required Skills & Experience MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or similar

Strong Python programming skills

Experience with PyTorch, TensorFlow, or optimisation libraries (e.g. Gurobi, OR-Tools)

Strong technical communication and stakeholder engagement skills

Ability to write clean, efficient, maintainable code

Interest in explaining and presenting complex technology

Desirable Experience in satellite, wireless communications, or software-defined networking

Background in technical sales or customer-facing engineering roles

Experience writing tests for ML systems

Experience with C, C++, or Go

Whats On Offer Remote working within the UK

Competitive salary + pension + private health insurance + equity

Work on world-leading space and AI technology

High-impact projects in space-ground integration and AI-driven networks

Collaborative, international research environment

TPBN1_UKTJ

Datos Insights delivers the most comprehensive and industry-specific data and advice to the companies trusted to protect and grow the world’s financial assets, and to the technology and service providers who support them. Staffed by experienced industry executives, researchers, and consultants, we support the world’s most progressive banks, insurers, investment firms, and technology companies through a mix of insights and advisory subscriptions, data services, custom projects and consulting, conferences, and executive councils.

The Market Data and Forecasting team provides clients with independent and reliable data and insights through published research, consulting and bespoke data services. Our global research covers the cards and payments, retail technology and banking automation sectors and is used by the leading market participants, analysts and regulators as the authoritative source of industry and competitor data.

The Market Data and Forecasting Associate role is focused on international primary and secondary research, including surveys, executive interviews, analysis of data and statistics and report writing. Our work is both quantitative and qualitative. The role is varied as you will be involved in reports, consulting, newsletters and conference activities.

You will have significant individual responsibility, while working as part of larger project teams. As you build your career within the business you will gain increased project manager responsibilities. You will acquire knowledge of and insight into the latest developments in banking and retail automation, cards and payments plus a wide range of research and strategy consulting skills.

The ideal candidate will have:

• A good academic record
• A minimum of two years’ post-degree work experience (does not have to be in research)
• Good communication, writing and numerical skills
• Fluent written and spoken English
• Strong attention to detail
• Ability to work independently and as part of a team
• Ability to build relationships with research contacts around the world
• Experience using Microsoft Office, with good Excel skills
• Fluency in a second language (with a preference for German, Portuguese, Russian and Spanish)*.

Datos Insights prides itself on its commitment to employee development and we are focusing on candidates who are interested in building a career in market intelligence over 2+ years with the company.

*We regularly use the following European languages: French, German, Italian, Polish, Portuguese, Spanish. Russian and Turkish, and also have an interest in non-European languages including Arabic, Farsi, Japanese, Korean, Mandarin and Thai.

As a Market Research Telephone Interviewer at Ipsos, your primary responsibility will be to conduct telephone interviews with business customers from various sectors. doing varied shifts. You will engage participants in their native language, utilising your communication skills to collect detailed, nuanced feedback that supports our clients’ business strategies.

Key Responsibilities:

• Conduct interviews over the phone using scripted questionnaires.
• Capture high-quality data and feedback from participants.
• Utilise language skills to communicate effectively in participants’ native languages.
• Ensure each interaction is conducted professionally and ethically.

Required Skills and Qualifications:

• Fluent in Hungarian (additional languages are advantageous).
• Excellent communication skills.
• Comfortable using a computer
• A laptop or PC running Windows 10 or above, with a working camera for our interactive training sessions.
• A USB headset with a microphone for crystal-clear conversation

What We Offer:

• Comprehensive training to equip you with the necessary skills and knowledge.
• Flexible working schedule with the ability to work from home or from our offices in London (Angel) and Edinburgh
• Opportunity to work with a globally renowned engineering client…
• Ongoing, long-term work opportunities, subject to performance

Ready to Begin Your Ipsos Journey? Join our team of dynamic Market Research Interviewers! Apply today and transform work into a rewarding experience.

Title : Senior AI Engineer

Salary : Up to £80,000 D.O.E

Location : UK (fully remote)

Are you passionate about building AI that makes a real impact?

if so…

We’re looking for a Senior AI Engineer to design, develop, and deploy production ready NLP and LLM systems for a fast-growing technology company in a high-trust, regulated domain.

This hands-on role bridges research and real-world delivery, giving you the chance to turn experiments into reliable, scalable solutions that genuinely help people.

What you’ll do

Build and fine-tune NLP & LLM-powered systems

Take models from prototype to production-ready services

Create RAG pipelines, evaluation tooling, and prompt testing frameworks

Monitor performance, cost, reliability, and drift in live environments

Implement explainability and bias mitigation in sensitive domains

Collaborate across AI, MLOps, Data, and Product teams

Mentor junior engineers and help shape the team’s AI best practices

What we’re looking for

Hands-on experience shipping NLP/LLM models into production

Strong knowledge of fine-tuning, RAG, agents and applied AI

Experience with MLOps practices (CI/CD, monitoring, retraining, drift detection)

Ability to turn research into robust, scalable solutions

Passion for using technology to make a real difference.

What you get:

Salary up to 80k D.O.E

Share Scheme

Private health cover

Pension

25 days holiday plus bank holidays

Fully remote

And more!

If this role sounds of interest to you or someone you know, then please apply to this advert and reach out to a. methula@ioassociates. co.uk

TPBN1_UKTJ

Associate Instructor AI, Decision Science and Advanced Analytics

Location: London
Department: Data Analytics and AI
Salary: Competitive consultant-level rates
Hours: Flexible - Part time, Monday - Friday
Contract Type: Freelance

Associate Instructor AI, Decision Science and Advanced Analytics

We are seeking experienced practitioners in Artificial Intelligence, Data Analytics and Software Development to deliver impactful, real-world training to professionals across sectors.

About Us

We empower individuals and organisations through advanced IT, AI and Leadership training. With over 50 years of experience and more than 65,000 global clients, we focus on practical skills, hands-on learning and industry-led expertise that drive meaningful, future-ready capabilities.

About the Role

As an Associate Instructor, you will draw on deep technical and consulting expertise to deliver high-quality engaging training, virtually or in-person to support our customers develop and deploy AI-driven models and simulations to support decision making across areas such as:

• AI-driven decision support and data modelling
• Software engineering and system development
• Multi-criteria decision frameworks and analytical mythologies
• Design and delivery of real-world applied solutions

You will bring real practitioner insight to your delivery, grounded in extensive experience in software development, analytics, strategic consulting and complex system engineering.

Key Responsibilities

• Deliver engaging, interactive training sessions based on real project experience
• Translate complex analytical and AI concepts into clear, practical learning
• Demonstrate modelling approaches such as:
• System dynamics
• Multi-criteria decision analysis
• Confrontation analysis
• Statistical and data-driven forecasting
• Provide expert insight into enterprise software workflows, from architecture to deployment
• Support clients in applying decision-science tools to real organisational challenges
• Partner closely with the Client Solution Team to drive client-focused engagement, shaping deal strategy and developing tailored, value-led solutions and programme architectures that directly support the sales process and strengthen our competitive position

Requirements

• Degree in Artificial Intelligence, Operational Research or related field
• Extensive professional experience across:
• AI, data science and analytics
• Software design and full lifecycle development (.NET, Python, Azure, REST)
• Data modelling, Simulation and mathematical methods
• Enterprise consulting across public and private sector
• Proven experience delivering complex project such as:
• Decision-support systems
• High-integrity financial, statistical or reporting applications
• Large-scale modelling or simulation tools
• Ability to communicate advance concepts to mixed technical audiences
• Strong background in applied problem-solving, modelling and system architecture

What We Offer

• Flexible schedule: Teach 414+ weeks/year
• Competitive consultant-level rates
• Remote and in-person delivery with occasional travel
• Free access to Learning Tree training resources

Our Process

We are committed to engaging only the best industry professionals, so we have a process that will ensure you can be successful as an Associate Instructor.

Youll demonstrate your expertise, meet virtually with a Lead Learning Tree Consultant, and attend a 2-day workshop to learn our methodology and showcase your delivery style.

Our Commitment to Inclusion

We are dedicated to cultivating a workplace that champions diversity and exclusivity, striving to create an environment where every individual is not only valued but also empowered to embrace their authentic selves. At our core, we recognise the unique contributions that Instructors like you bring to Learning Tree, and we firmly believe that these differences are integral to shaping the distinctive identity of our organisation.

Collaboration is at the heart of this role, as you will also actively support our sales team by contributing to client briefs, course outlines and course developments. Our consultants are critical to business success by driving the completion of learner evaluations and identifying and referring opportunities for improvement.

REF-226 406

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 £28,000-£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 £28,000–£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.

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 £28,000-£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 £28,000–£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.

Title: Senior AI Engineer

Salary: Up to £80,000 D.O.E

Location: UK (fully remote)

Are you passionate about building AI that makes a real impact?

if so

We’re looking for a Senior AI Engineer to design, develop, and deploy production ready NLP and LLM systems for a fast-growing technology company in a high-trust, regulated domain.

This hands-on role bridges research and real-world delivery, giving you the chance to turn experiments into reliable, scalable solutions that genuinely help people.

What you’ll do

• Build and fine-tune NLP & LLM-powered systems
• Take models from prototype to production-ready services
• Create RAG pipelines, evaluation tooling, and prompt testing frameworks
• Monitor performance, cost, reliability, and drift in live environments
• Implement explainability and bias mitigation in sensitive domains
• Collaborate across AI, MLOps, Data, and Product teams
• Mentor junior engineers and help shape the team’s AI best practices

What we’re looking for

• Hands-on experience shipping NLP/LLM models into production
• Strong knowledge of fine-tuning, RAG, agents and applied AI
• Experience with MLOps practices (CI/CD, monitoring, retraining, drift detection)
• Ability to turn research into robust, scalable solutions
• Passion for using technology to make a real difference.

What you get:

• Salary up to 80k D.O.E
• Share Scheme
• Private health cover
• Pension
• 25 days holiday plus bank holidays
• Fully remote
• And more!

If this role sounds of interest to you or someone you know, then please apply to this advert and reach out

Job DescriptionAll potential applicants are encouraged to scroll through and read the complete job description before applying.Trainee AI Engineer – No Experience NeededFuture-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 applyJob guaranteed - complete the programme and get a job or get your money back.Our candidates earn £28,000-£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 WorksStep 1 – AI Engineering FundamentalsStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.Step 2 – Data FundamentalsUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.Step 3 – Notebooks & IDEsGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.Step 4 – Python ProgrammingMaster Python, covering everything from the basics to object-oriented programming (OOP).Step 5 – Python Streamlit ProjectApply your Python skills by building a car price prediction app using Python and Streamlit.Step 6 – Python for DataLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.Step 7 – AI Sentiment Analysis ProjectWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.Step 8 – AI Prompt EngineeringMaster 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 ProjectCombine 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 FundamentalsUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.Step 12 – Machine Learning ProjectPut your machine learning knowledge into practice with a hands-on project.Step 13 – AI & Data EthicsStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.Step 14 – Oral ExamComplete a virtual oral exam to assess your understanding and ability to apply your learning.Step 15 – AWS Certified Cloud PractitionerFinish 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 £28,000–£45,000We Get You HiredWe’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 LondonReady to Start? xwzovoh 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.Please note this is a training course and fees apply

A growing technology team is developing a new generation of intelligent, audio-driven products designed to interpret real-world acoustic environments and generate meaningful insight. As development accelerates, they are seeking an Audio Machine Learning Engineer to shape how sound is analysed, classified, and translated into useful information across edge and cloud platforms.

The Opportunity Working alongside embedded, hardware, and software specialists, you will contribute to the full lifecycle of audio intelligence, from dataset strategy and model design through to optimisation and deployment.

The role offers genuine ownership and the chance to influence core technology within a product-focused engineering environment.

Required:

Core experience

• Strong grounding in audio machine learning or applied signal processing
• Experience training and evaluating models using modern ML tooling
• Awareness of real-world acoustic challenges such as noise, reverberation, and variability
• Comfort working in a small, fast-moving engineering team
• Likely a PhD or MSc + some industry experience

Beneficial

• Edge or embedded ML optimisation
• Audio feature extraction or DSP knowledge
• Postgraduate study in a relevant technical discipline
• Experience with sensing, monitoring, or real-world data systems

We are recruiting for a SC Cleared HPC Containerisation/HPC Expert on contract to work for a leading Defence organisation based in Derby 2 days per week and remotely 3 days.

Role Overview

This role provides high-level consultancy and first hand engineering expertise to modernise High-Performance Computing (HPC) environments with a focus on containerisation of HPC and HPC/ML workloads, cluster optimization, and MPI-aware workflows.

Responsibilities include assessing the existing HPC infrastructure, advising on best-practice for container strategies, and delivering technical recommendations based on real workloads

Key Responsibilities

The ideal candidate will collaborate with the customer to assess existing HPC infrastructure and workloads through various customer workshops and interviews, to identify:

HPC Environment Assessment & Optimization

• Conduct rapid reviews of existing HPC infrastructure, including Beowulf clusters, Slurm job schedulers, workflow execution patterns, and key use cases.

• Analyze current HPC/ML workloads and identify performance constraints, containerization opportunities, and runtime optimization options.

HPC Containerization Strategy

• Produce a strategy for MPI-optimized container images using tools such as Apptainer/Singularity (SIF), OpenMPI, Podman, and Buildah.

• As part of the report’s findings outline repeatable, secure build pipelines for HPC workloads.

• Identify in the report opportunities to align container platforms with HPC orchestration requirements (batch, interactive, scientific workflows).

Technical Workshops, Stakeholder Engagement

• Lead technical discussions, workshops, and training sessions to upskill engineering and research teams on containerization and HPC best practices.

• Produce concise written reports outlining the recommendations and findings, use cases, future strategy, HPC market view along with, next steps, and architectural patterns.

HPC Tools, Runtimes & Ecosystem Integration

• Have a good understanding of Slurm scheduling, MPI job patterns, JupyterHub/JupyterLab for data-science workflows, GPU scheduling tools such as Run:AI, and SDLC practices tailored to research/HPC environments.

Essential Skills & Experience

• Proven background in high-performance computing, including hands-on use of Beowulf-style cluster environments.

• Strong practical knowledge of Slurm job scheduling and MPI job optimization.

• Demonstrated experience with MPI-aware container technologies (Apptainer/SIF, OpenMPI, Podman, Buildah).

• Ability to run structured interviews, technical workshops, and cross-team engineering sessions.

• Experience supporting typical HPC, ML and scientific workloads.

Desirable Experience

• Knowledge of CFD software (eg, OpenFOAM).

• Familiarity with Kubernetes or Singularity as an HPC runtime, GPU slicing, and image life cycle governance.

• Experience contributing written outputs such as market assessments of HPC container technologies.

Title: Senior Software Engineer (Compilers)

Company: HPC & AI

Location: London (primarily remote)

Compensation: Up to 190,000

Company:

An advanced HPC R&D firm, looking to expand the UK compiler team. Most of the team are ex-Big-Tech, ex-FAANG or ex-Chip firms. They joined because they get more flexibility and have more challenging/interesting work to do as the team is significantly smaller, with highly technical leadership. If you want to work alongside some of the brightest, most enthusiastic people in the industry, this may be worth exploring.

Role:

Senior Software Engineer position with an emphasis on AI Compiler development. You will be a significant hire and will own much of the development of a cutting-edge compiler development project. Significant hires have already been made in the team to support this role.

Mostly LLVM based, it is important you also have experience working with GPUs to an extent.

About you:

• 6 years+ as a compiler engineer
• Strong C++ programming skills
• Experience with LLVM, MLIR, Triton or other compilers
• Experience with GPU architectures

Full details are available. Please don’t hesitate to get in touch.

Software Engineer - C++

Title: Software Engineer - C++

Company: Elite Software House

Location: Remote (London office)

Salary: 80,000 - 115,000

Skills: C++, Algorithms, Boost

Overview:

Are you someone that thinks that writing slick, classy C++ code can and should be an art? Would you like to be part of an internationally recognised team of C++ experts led by the brightest C++ minds in the world?

An elite software house are looking for the top 1% of engineers of all levels to come on board as they continue to develop beautiful algorithms which power business decisions for millions of users.

There is no red tape, there are no bureaucratic meetings. Leaders are also C++ experts. You can work from wherever with a guaranteed top salary in year 2.

About you:

• STEM degree from a top university OR commercial C++ expertise
• Significant bias towards C++ development
• Genuine passion for writing clean, performant code

Bonus if:

• Commercial C++ experience
• Have worked on open-source projects
• Have an activity portfolio of personal C++ projects

Full details are available. Please don’t hesitate to get in touch.

Adecco are pleased to be recruiting for a National Policing Insight Analyst! to work within the Devon & Cornwall Police Force

Are you passionate about making a difference in public service? Do you have a knack for analysis and a keen interest in tackling modern slavery? Our client is looking for a dedicated National Policing Insight Analyst to contribute to the UK’s first analytical strategy in response to the Modern Slavery Threat.

This is a temporary full-time position working Monday to Friday 37 hour per week, this a predominately a working from home role with travel, the hourly rate is 19.78 per hour and an has an end date of around June 2026.

Please note this role is subject to Police Vetting you will need to have resided within the UK for a minimum of 5 Years

What You’ll Do:
As a key member of a national team, you will play a pivotal role in delivering evidence-based insights to the Police Service. Your responsibilities will include:

Performance Analysis: Build and deliver tailored analytical processes to oversee police service performance and disruption impacts.
Data Coordination: Manage national data requests and support academic research linked to modern slavery.
Horizon Scanning: Identify changes in the modern slavery landscape that affect police demand, threat, or response.
Information Extraction: Develop analytical processes to transform unstructured data into structured data-sets, contributing to thematic intelligence campaigns.
Intervention Identification: Pinpoint key intervention points in systems of modern slavery offending, enhancing operational effectiveness.

Who You Are:
We’re looking for a dynamic individual who possesses:

• A degree-level qualification or equivalent experience in research or analysis within government, policing, or public sector environments.
• Demonstrated experience in evidence-based research and analysis, using statistics for hypothesis testing.
• Strong analytical skills, with the ability to develop practical solutions to complex issues.
• High-level IT skills, particularly with analytical software and advanced MS Excel proficiency.
• Effective communication skills, capable of drafting clear reports and delivering impactful presentations tailored to various audiences.

Why Join Us?

Impact: Be part of a critical initiative that shapes the response to modern slavery in the UK.
Development: Engage in nationally accredited training and continuous professional development.
Team Environment: Collaborate with passionate professionals dedicated to making a difference.

Additional Information:

This role requires driving, and successful candidates must complete the Police Staff Induction and mandatory Health & Safety training.
Experience with geographical or intelligence analytical tools is desirable.

Ready to Make a Difference?
If you’re driven, innovative, and excited about using your analytical skills to support national policing efforts, we want to hear from you!

Apply today and help shape the future of policing in the fight against modern slavery!

Apply Now!
Take the first step towards an impactful career with our client. This is your chance to contribute to meaningful change in public service.

Our client is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer.

By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser (url removed)

Junior AI Evaluator (STEM Graduate) Self Employed Contract

The Role

Are you a recent university graduate with a sharp eye for detail and strong analytical skills We are partnering with a leading AI technology firm to hire detailed-oriented specialists to improve the quality, safety, and reliability of Generative AI models used by millions.

We are looking for University Graduates (Bachelor’s or Master’s) to join this project immediately.

What You ll Do

As an AI Evaluator and Trainer, you will audit and improve general chat behaviour in Large Language Models (LLMs), and you will assess model-generated responses across diverse topics to ensure they are accurate, well-reasoned, and safe.

• Evaluate Response Quality: Assess LLM-generated responses to ensure they effectively answer user queries.
• Rigorous Factchecking: Use trusted public sources to verify claims and spot “hallucinations” (factual errors).
• Analyze Logic and Tone: Assess the reasoning quality, clarity, and helpfulness of the AI’s responses.
• Create Training Data: Write high-quality rewrites and annotations to teach the model how to improve.

Who You Are:

• University Graduate (Required): You hold a Bachelor s Degree or higher. (Degrees in Linguistics, Mathematics, Computer Science, Philosophy, or similar analytical fields are preferred).
• Mathematics and Logic: You possess excellent college-level Mathematics or logic skills.
• AI Savvy: You understand how LLMs work and have a genuine interest in AI development.
• Excellent Writer: You have native-level written English skills and can clearly articulate nuanced feedback.
• Detail-Oriented: You spot logic gaps and tonal shifts that others overlook.

Why Apply

• Remote Work: Fully remote flexibility.
• Cutting Edge Experience: Gain hands-on experience with the world’s leading AI models.
• Entry Level Friendly: A perfect role for a recent graduate looking to break into the AI and Tech sector.