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Department: Academic/Bath Spa University (BSU) Location: Manchester Salary: £51,000 The role: We are currently seeking Lecturers to teach across a range of undergraduate levels as part of our BSc (Hons) Computing programme with our Bath Spa University partnership. Due to our delivery model, we require flexibility to teach during weekdays, evenings and at weekends. Please note this role is not eligible for visa sponsorship. Main Responsibilities What you'll be doing: As a Lecturer in Computing at Global Banking School, you will deliver modules based around the three main themes of the programme: Technology, Software, and Data. You will develop and deliver comprehensive course materials, that will equip students with an understanding of database systems, internet technologies, data, cyber security, networking, and business information systems. You will undertake all aspects of learning, teaching and assessment of students and keep up to date with latest developments in your field and student support practices. Responsibilities include: • All aspects of planning, delivering, and assessing student work, ensuring that all learning outcomes are met, • Developing, updating, and improving course materials as appropriate, • Using a variety of learning and teaching methods/materials, • Actively engaging in staff development activities, peer observations, meetings and other administrative duties, • Understanding and keeping up to date with latest developments in your field and student support practices About you: • You will hold a Master's degree in a relevant subject area (PhD desirable), • You will have previous UK HE lecturing experience in the wider subject area, • You will be able to demonstrate extensive knowledge of two or more of the following areas:, • Programming and software development, • Web development, • Database systems, • Cloud computing, • Networking, • Cybersecurity, • IoT and emerging technologies, • Business IT systems, • IT management, • AI and Machine Learning, • Operating Systems, • UI/UX, • You will have experience supervising student work and providing support and feedback, • You will have experience of accurate reporting and ability to maintain thorough and organised student records, • You will be able to work under pressure, plan and prioritise own workload to meet tight deadlines, • You will have excellent communication, interpersonal and team-working skills, • You will be able to work with diverse groups of people Desirable: • You will hold a Postgraduate Certificate of Academic Practice or equivalent teaching qualification (or commitment to enrol on a teaching programme during the probationary period and complete within three years) or Fellowship of HEA (or international equivalent), • 25 days annual leave, plus 8 public holiday, • 1-day extra leave per year of service, up to a maximum of 5 days, • Workplace pension scheme, • Tuition reimbursement for career development courses, • Flexible Benefits: Cycle to Work, Workplace Nursery, Tech scheme and much more, • Perks@Work discounts platform, wellbeing centre and much more, • Reward and recognition programme, • £500 award employee referral scheme — John Traichaisit, Consultant Lecturer GBS is committed to equality, diversity and inclusion and providing a workplace free from discrimination or harassment. We welcome applications from all backgrounds and communities. We take our core values seriously and work hard to create an environment where everyone feels welcomed.

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.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

Junior AI Developer Programme – Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. The Programme This 10–14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 – £40,000 Who This Is For Ideal for beginners and career changers with an interest in coding and AI. UK learners only. Apply now. Limited availability.

Junior AI Developer Programme – Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. The Programme This 10–14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 – £40,000 Who This Is For Ideal for beginners and career changers with an interest in coding and AI. UK learners only. Apply now. Limited availability.

Junior AI Developer Programme – Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. The Programme This 10–14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 – £40,000 Who This Is For Ideal for beginners and career changers with an interest in coding and AI. UK learners only. Apply now. Limited availability.

Junior AI Developer Programme – Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. The Programme This 10–14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 – £40,000 Who This Is For Ideal for beginners and career changers with an interest in coding and AI. UK learners only. Apply now. Limited availability.

Trainee Data Scientist - No Experience RequiredAre you looking to kick-start a new career as a Data Scientist?We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Vis...

Department: Academic/Bath Spa University (BSU) Location: Manchester Salary: £51,000 The role : We are currently seeking Lecturers to teach across a range of undergraduate levels as part of our BSc (Hons) Computing programme with our Bath Spa University partnership. Due to our delivery model, we require flexibility to teach during weekdays, evenings and at weekends. Please note this role is not eligible for visa sponsorship. Main Responsibilities What you'll be doing: As a Lecturer in Computing at Global Banking School, you will deliver modules based around the three main themes of the programme: Technology, Software, and Data. You will develop and deliver comprehensive course materials, that will equip students with an understanding of database systems, internet technologies, data, cyber security, networking, and business information systems. You will undertake all aspects of learning, teaching and assessment of students and keep up to date with latest developments in your field and student support practices. Responsibilities include: • All aspects of planning, delivering, and assessing student work, ensuring that all learning outcomes are met, • Developing, updating, and improving course materials as appropriate, • Using a variety of learning and teaching methods/materials, • Actively engaging in staff development activities, peer observations, meetings and other administrative duties, • Understanding and keeping up to date with latest developments in your field and student support practices About you: • You will hold a Master's degree in a relevant subject area (PhD desirable), • You will have previous UK HE lecturing experience in the wider subject area, • You will be able to demonstrate extensive knowledge of two or more of the following areas:, • Programming and software development, • Web development, • Database systems, • Cloud computing, • Networking, • Cybersecurity, • IoT and emerging technologies, • Business IT systems, • IT management, • AI and Machine Learning, • Operating Systems, • UI/UX, • You will have experience supervising student work and providing support and feedback, • You will have experience of accurate reporting and ability to maintain thorough and organised student records, • You will be able to work under pressure, plan and prioritise own workload to meet tight deadlines, • You will have excellent communication, interpersonal and team-working skills, • You will be able to work with diverse groups of people Desirable: • You will hold a Postgraduate Certificate of Academic Practice or equivalent teaching qualification (or commitment to enrol on a teaching programme during the probationary period and complete within three years) or Fellowship of HEA (or international equivalent), • 25 days annual leave, plus 8 public holiday, • 1-day extra leave per year of service, up to a maximum of 5 days, • Workplace pension scheme, • Tuition reimbursement for career development courses, • Flexible Benefits: Cycle to Work, Workplace Nursery, Tech scheme and much more, • Perks@Work discounts platform, wellbeing centre and much more, • Reward and recognition programme, • £500 award employee referral scheme — John Traichaisit, Consultant Lecturer GBS is committed to equality, diversity and inclusion and providing a workplace free from discrimination or harassment. We welcome applications from all backgrounds and communities. We take our core values seriously and work hard to create an environment where everyone feels welcomed.

Complete online training designed to take you from beginner level to your first AI Engineer role. AI Engineer Programme – Job Support Included. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases.

Department: Academic/Bath Spa University (BSU) Location: Manchester Salary: £51,000 The role : We are currently seeking Lecturers to teach across a range of undergraduate levels as part of our BSc (Hons) Computing programme with our Bath Spa University partnership. Due to our delivery model, we require flexibility to teach during weekdays, evenings and at weekends. Please note this role is not eligible for visa sponsorship. Main Responsibilities What you'll be doing: As a Lecturer in Computing at Global Banking School, you will deliver modules based around the three main themes of the programme: Technology, Software, and Data. You will develop and deliver comprehensive course materials, that will equip students with an understanding of database systems, internet technologies, data, cyber security, networking, and business information systems. You will undertake all aspects of learning, teaching and assessment of students and keep up to date with latest developments in your field and student support practices. Responsibilities include: • All aspects of planning, delivering, and assessing student work, ensuring that all learning outcomes are met, • Developing, updating, and improving course materials as appropriate, • Using a variety of learning and teaching methods/materials, • Actively engaging in staff development activities, peer observations, meetings and other administrative duties, • Understanding and keeping up to date with latest developments in your field and student support practices About you: • You will hold a Master's degree in a relevant subject area (PhD desirable), • You will have previous UK HE lecturing experience in the wider subject area, • You will be able to demonstrate extensive knowledge of two or more of the following areas:, • Programming and software development, • Web development, • Database systems, • Cloud computing, • Networking, • Cybersecurity, • IoT and emerging technologies, • Business IT systems, • IT management, • AI and Machine Learning, • Operating Systems, • UI/UX, • You will have experience supervising student work and providing support and feedback, • You will have experience of accurate reporting and ability to maintain thorough and organised student records, • You will be able to work under pressure, plan and prioritise own workload to meet tight deadlines, • You will have excellent communication, interpersonal and team-working skills, • You will be able to work with diverse groups of people Desirable: • You will hold a Postgraduate Certificate of Academic Practice or equivalent teaching qualification (or commitment to enrol on a teaching programme during the probationary period and complete within three years) or Fellowship of HEA (or international equivalent), • 25 days annual leave, plus 8 public holiday, • 1-day extra leave per year of service, up to a maximum of 5 days, • Workplace pension scheme, • Tuition reimbursement for career development courses, • Flexible Benefits: Cycle to Work, Workplace Nursery, Tech scheme and much more, • Perks@Work discounts platform, wellbeing centre and much more, • Reward and recognition programme, • £500 award employee referral scheme — John Traichaisit, Consultant Lecturer GBS is committed to equality, diversity and inclusion and providing a workplace free from discrimination or harassment. We welcome applications from all backgrounds and communities. We take our core values seriously and work hard to create an environment where everyone feels welcomed.

You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases.

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

Data Scientist Placement Programme - No Experience Required Our training will help you kick-start a new career as a Data Scientist. We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT 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. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply

Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second.We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins,

Data Scientist/Machine Learning Engineer. Data science/Machine learning models from coding to deployment. Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning.

AI, Machine Learning, Reinforcement Learning, or Data Science. Staff Machine Learning Engineer. In this position, you will design, develop, deploy, and optimize machine learning models that power advanced AI systems.

Strong background in machine learning and ML engineering. Machine Learning Scientist (Contract → Full-Time Potential). Design, build, and evaluate machine learning models on large-scale longitudinal patient datasets (e.

Experience in commercial machine learning research and development. Experience working with data, training and evaluating machine learning models. Previously registered audio machine learning patents.

We’re looking for a Machine Learning Research Engineer to join an early-stage quantum computing start-up developing full-stack photonic quantum systems. Design, implement, and evaluate new machine learning algorithms, particularly generative models (GANs, flow models, diffusion models) and hybrid

Staff Machine Learning Engineer – | 3 Roles | UK Remote.

Machine Learning Research Engineer,. Designing novel algorithmic and machine learning approaches to interpret complex scientific data. Experience in machine learning (research or applied).

Computer Vision, Machine Learning, Robotics, Mathematics, Physics, or similar).

Postdoctoral Researcher in Machine Learning for Exoplanet Atmospheric Modelling (Milton Keynes, ENG, GB, MK7 6AA). The School of Physical Sciences at the Open University, UK, invites applications for a 3-year fixed-term postdoctoral researcher in machine learning for exoplanet atmosphere modelling.

You have professional experience in machine learning with expertise in deep learning methods and their practical applications in production environments. We are looking for a Senior Machine Learning Engineer, with expertise in deep learning, to join our cross-functional Outfits Discovery team. You p

Teach programming, data structures, databases, and machine learning fundamentals with clear, practical examples. Facilitate hands‑on practical sessions, projects, and applied learning activities to enhance student engagement and real‑world application. Provide academic support, constructive feed

Experience writing tests for both software and machine learning algorithms. Aalyria’s Spacetime team is seeking an experienced machine learning engineer for a hybrid role involving ML research and development. This role will involve applying cutting‑edge machine learning algorithms to solve some

Learning & Development budget and time off for your self-development;. The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!). Every day we focus on empowering tutors to deliver an exceptional learning experience.

The Data Platform Team is responsible for all machine learning operations across our energy data ecosystem. The team has built a comprehensive suite of statistical and machine learning models that enable us to provide the most accurate and actionable insights into energy operations. With solid machi