Train engineer jobs in United Kingdom

Join Our Team as a Mobile Electrical Technician!\n Location: Kent - Rochester \n Employment Type: Full Time \n Salary: £36k - £42k (based on qualifications and experience) + Additional Benefits \n\n • Paid travel time up to £6,000 per annum\n, • Opportunities for overtime to boost your earnings\n, • Flexible Benefits\n, • On Call Escalation fee\nAbout the Role\n Are you ready to take your career to the next level? NG Bailey Facilities Services is on the lookout for an experienced Mobile Electrical Technician to join our prestigious SETL - South East Trains Limited Railway Contract. You’ll be at the forefront of electrical maintenance across train stations in the London, Metro, Southeast London, and Kent areas, with occasional work in Sussex. \n As a key member of our team, you’ll enjoy the freedom of a company van and the opportunity to work in a dynamic environment. A UK Driving License is essential, and you’ll need to pass a medical and obtain a PTS (Personal Track Safety) sentinel card if you don’t already have one. This is a condition of employment. Your Responsibilities\n In this role, you will: \n\n • Ensure all work aligns with method statements, risk assessments, and safety legislation.\n, • Deliver exceptional service by completing PPM tasks and reactive works within contractual Service Level Agreements.\n, • Maintain high standards across all premises through proactive service delivery.\n, • Build strong relationships with clients and their representatives through outstanding customer service.\n, • Keep site documentation up to date for regular audits.\n, • Utilize the client's CAFM system to provide accurate service information.\n, • Demonstrate Health & Safety knowledge to ensure safe work delivery.\n, • Carry out Electrical Maintenance and Installation work in accordance with industry standards.\nWorking Hours\n Your working hours will be 40 hours per week, Monday to Friday, with a call-out rota of 1 in 6 weeks. What We’re Looking For\n We seek an Electrical Engineer who is committed to delivering high-quality building services with a strong focus on customer satisfaction. You should hold current qualifications, including: \n\n • Recognized Electrical Apprenticeship (preferred, not essential)\n, • City and Guilds 236 Parts 1 & 2 or equivalent\n, • City and Guilds 18th Edition\n, • City and Guilds 2391 (desirable)\n, • Personal Track Safety - PTS (desirable, not essential)\n, • IOSH Working/Managing Safely (desirable)\n, • Safe System of Work Procedure – PTW; RAMS etc. (desirable)\n, • L8 Training (desirable)\nWhy Join Us?\n At NG Bailey, we’re committed to evolving our benefits to attract and retain top talent. Here’s what we offer: \n\n • Competitive salary of £36k - £42k, plus travel time and overtime opportunities\n, • 25 Days Holiday plus Public Holidays\n, • Pension plan with a leading provider and employer contributions\n, • Sick Pay\n, • Personal Wellbeing and Volunteer Days\n, • Private Medical Insurance\n, • Free 24/7 Employee Assistance Program for mental health support\n, • Flexible benefits including Dental Insurance, Gym Memberships, and more\n, • Personal development program to help you grow\nNext Steps\n We’re on a journey to foster a culture of inclusion, fairness, and respect. Our recruitment process is designed to be transparent, and we’re here to support you every step of the way. If you need any accommodations during the application or interview process, please let us know, and we’ll work together to meet your needs. About Us\n NG Bailey is one of the leading independent engineering and services businesses in the UK. Established in 1921, we have a turnover of £500m and a dedicated team of 3,000 employees. We pride ourselves on developing great talent through our investment in training. \n Working across various sectors in the building and infrastructure industry, our innovative and responsible approach allows us to tackle groundbreaking projects using the latest tools and technologies. We value progression and ensure that when you join us, you have a clear development path supported by regular reviews and ongoing training. \n Join us and be part of something great!

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. The Partner Solutions Architect (PSA) at NetApp is a senior technical enablement resource aligned to a defined set of strategic Channel Partners within the UKI region. This role is focused on developing, enabling, and influencing partner technical communities, ensuring partners are equipped to lead with NetApp solutions independently. The PSA does not function as a direct sales engineer or primary customer-facing resource. Instead, the role partners closely with Partner Managers and partner technical leadership to build NetApp mindshare, technical competency, and long-term partner capability across the NetApp portfolio. Success in this role is driven by partner engagement, technical readiness, and alignment to partner goals, rather than direct sales execution. Partner Enablement & Technical Leadership: • Serve as the primary technical enablement resource for assigned Channel partners within the UKI region., • Build a solution/Bill of Materials to enable a Partner to quote our technology stack, • Develop partner technical capability so partners can independently conduct technical discovery, solution positioning, and sales activities., • Build and maintain strong relationships with senior partner technical leaders, Pre-Sales Managers and partner-facing technical teams., • Influence partner technical strategy by aligning NetApp solutions to partner offerings and go-to-market motions. Partner Engagement & Programs: • Work closely with Partner Managers to plan and deliver technical enablement activities, including partner-focused QBRs, lunch-and-learn sessions, and technical workshops., • Design engagements that focus on educating and enabling partner technical teams, in addition to supporting individual deals from a technical lens., • Assess partner technical maturity and tailor enablement plans to close capability gaps, and influence Partners’ GTM and portfolio., • Provide ongoing compliance checks and where needed train technical Partner teams to ensure ongoing adherence with the Global NetApp Partner compliance program. Portfolio & Technical Guidance: • Educate partners on where and how NetApp fits within their portfolio and customer use cases., • Guide partners on positioning NetApp solutions effectively within their own offerings., • Support technical whiteboarding and solution discussions with partners when appropriate., • Ensure partners understand the full NetApp portfolio and how to leverage it across infrastructure, data management, and cloud use cases., • 5+ years of recent experience in enterprise infrastructure technologies, including storage, datacentre architecture, networking, and compute., • 5+ years of experience working with and enabling channel partners in a technical capacity, such as Sales Engineer, Channel Sales Engineer, or Solutions Architect supporting the channel., • Strong understanding of partner ecosystems and how partners position, sell, and support enterprise technology solutions., • A thorough understanding of major Customer imperatives and the appropriate technology drivers and trends, • Proven ability to communicate complex technical concepts clearly to technical and non-technical audiences., • Demonstrated ability to influence without authority and build credibility with senior technical stakeholders., • Comfortable operating in a matrixed environment across partner and internal teams. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.

Role: Senior Software Engineer - Machine Learning Data Platform Location: London (Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £110-135k Base Salary + Discretionary Bonus + Equity Zettafleet is an end-to-end platform for businesses and organisations to train their own LLM on their proprietary data. We can use non-conventional AI hardware and automatically source and combine GPUs (and other types of AI accelerators) from multiple cloud providers, enabling users to optimise for cost, duration or geographic location of the training. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role, you will: • Design and develop a highly-scalable data platform capable of ingesting and processing hundreds of terabytes of training data., • Design and develop methodologies and metrics to better understand the underlying quality, structure and distribution of training data., • Architect training data validation, integrity and safety mechanisms for state-of-the-art ML models., • Lead projects from inception to launch and beyond, having a high degree of autonomy and ownership over your work., • Work closely with the founding team and contribute towards best practices, standards, and culture of the company., • We use and leverage AWS as much as possible and manage it with Terraform., • Services are written in Python and deployed to ECS or Lambda., • We use Postgres, SNS/SQS and Redis., • We have good end-to-end test coverage and are confident in our deployments. What we are looking for: • Back-end development: 5+ years of industry experience in back-end engineering developing data platforms or large-scale extract-transform-load (ETL) pipelines., • Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform)., • Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems., • Strong ownership mindset: You naturally take responsibility for outcomes, not just tasks, and care deeply about the quality of what you ship., • Product-oriented thinking: You think beyond implementation details, proactively suggesting improvements that balance customer value with business impact., • Leadership: A track record of leading complex projects and influencing technical direction., • Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex problems into actionable tasks., • Collaboration and communication: Excellent interpersonal and communication skills with technical and non-technical stakeholders. We would like to acknowledge that almost no candidate checks every box - and that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. How we work: We are a small, early-stage team with big ambitions. We move quickly, care deeply about what we build, and take pride in doing things well. This is a high-ownership environment where people who are proactive, curious, and motivated by impact tend to thrive. Nice to have: • Machine Learning: Applied or theoretical background in machine learning and familiarity with fundamental concepts in the field., • Open-source: Contributions to and experience in open-source projects., • Startup experience: Experience with a startup work environment and wider ecosystem., • Work in an environment conducting cutting-edge research in AI., • Competitive salary, equity and benefits package., • 28 days + public holidays allowance., • Opportunities for professional growth and progression with your career., • Work on challenging engineering problems that have a real impact on the industry., • Work with high-profile customers and technology partners. #J-18808-Ljbffr

Location: London (Hybrid) We are seeking an experienced Lead CCS Engineer to provide technical expertise in the development and implementation of rail signalling, control, command, and communications standards and projects with one of our clients within the rail industry. This role will play a key part in supporting the evolution of the UK rail network through the development of requirements, guidance, and industry best practice across conventional and digital signalling systems. The successful candidate will work closely with industry stakeholders, technical committees, and project teams to support the delivery of innovative solutions covering signalling systems, train protection technologies, traffic management, communications, and emerging rail technologies. • Lead the development and maintenance of rail signalling and control system requirements, standards, and technical guidance., • Support projects relating to ETCS/ERTMS, conventional signalling, train control and protection systems, traffic management, communications, and related technologies., • Analyse system capabilities, operational interfaces, and industry requirements to improve safety, performance, and interoperability., • Collaborate with engineering, operational, and industry specialists to develop fit-for-purpose solutions., • Represent the organisation at industry forums, technical committees, and stakeholder meetings., • Facilitate industry consensus on new and revised technical requirements., • Author and review technical standards, guidance documents, and project outputs., • Support research initiatives and the implementation of new technologies and best practices., • Provide technical advice to project managers and senior stakeholders., • Monitor industry developments, innovation, and international best practice to identify opportunities for improvement., • Degree or professional qualification in Engineering, Mathematics, Science, or a related discipline., • Experience within the rail industry, ideally in signalling, control systems, or railway operations., • Strong understanding of railway systems, signalling technologies, and systems engineering principles., • Knowledge of rail safety, interoperability, and industry standards., • Experience managing technical documentation, requirements, and change control processes., • Strong analytical, communication, presentation, and stakeholder management skills., • Ability to work collaboratively across multidisciplinary teams., • Proficient in Microsoft Office applications, including Excel, Word, PowerPoint, and Project., • Knowledge of ETCS/ERTMS and digital railway technologies., • Experience with systems modelling or operational modelling techniques., • Professional registration or membership of a relevant engineering institution., • Leadership, coaching, or mentoring experience., • Experience working with technical committees and senior industry stakeholders., • Interest in emerging technologies and innovation within the rail sector. This is an excellent opportunity to influence the future of rail signalling and control systems within a highly collaborative and technically focused environment. You'll work alongside industry experts, contribute to major industry initiatives, and support the safe and efficient evolution of the UK rail network. #J-18808-Ljbffr

Reports to: Head of NOC Job purpose: Working as part of a team of experienced Network Security Engineers, including our 24x7 NOC this role will provide dedicated support for the customer. The role, alongside side another Network Security Engineer will, on a day to day basis report directly to the customer. The role will monitor, manage and support highly secure, complex network environments for our financial services customer, a global bank with offices in Central London. Key interfaces: Internal network and security teams within the Customer, ITC NOC Manager, Service Manager / Account Management, Network Security Engineers (both within the Customer and the ITC NOC), SOC Analysts and Vendors • Creating/modifying device configurations across switching and routing products,, • Creating/modifying firewall configurations and policies for different vendors (Cisco, Fortinet, Palo Alto, etc), • Working knowledge of Fortigate Firewalls, Cisco FTD, Cisco ACI, Cisco Nexus and Catalyst switches, Cisco ISE NAC, Cisco Wireless, Palo Alto Firewalls, F5 BigIP server load balancers, dynamic routing protocols and best practice device configuration,, • Experience working with network management platforms (SolarWinds), • Excellent troubleshooting skills, with prior experience working as an escalation engineer managing high-priority incidents. You will need to be able to work well under pressure and with a calm demeanour,, • Ability to consistently deliver to deadlines while prioritising competing demands for time,, • Ability to understand and follow ITIL processes, notably incident and change management - raising changes and seeking approval, joining CAB calls, coordination of testers,, • Willingness to share information, improve documentation, and train other engineers,, • Able to meet demands for occasional out-of-hours working and on-call escalation, performing out of hours changes across the network - post 6pm Friday & Weekends,, • Customer-facing with good report-writing skills and strong communication skills at all levels,, • Completing daily health checks on the network,, • Working internally within the Customer, supporting internal teams on BAU projects,, • Working between the Customer and ITC NOC ensuring any incidents, changes, service requests are responded to in a timely manner,, • Working knowledge of ITSM tooling, specifically Jira, SharePoint,, • Updates to design documentation, Visio and SolarWinds maps,, • Duty of care, working as part of a team, supporting other engineers and the customer., • The below certifications or equivalent work-related experience, • Cisco CCNP Enterprise (essential), • Cisco CCNP Security (essential), • Fortinet Certified Professional - NSE 4 / NSE 5 (essential), • Implementing Cisco Application Centric Infrastructure (desirable), • Palo Alto Networks Next-Generation Firewall Engineer (desirable), • Experience with automation tooling - Ansible, Catalyst Centre, etc (desirable), • Riverbed Certified Solutions Associate certification (desirable), • ITIL Foundation (desirable), • The ability to communicate fluently and confidently to a high standard in both written and verbal English (essential), • Demonstrable competence and capability in a L2 & L3 network support role (essential), • Confident working knowledge of Cisco FTDs and ACI, Palo Alto, VPNs, Fortinet, routing and switching administration via GUI & CLI (essential), • Experience in Four or more of the following areas, ideally at a support level (essential), • Firewall Management: Cisco FTD and Palo Alto, Fortinet Fortigate, • Cisco ACI; Nexus and Catalyst Switches and Cisco IOS Routers, • Cisco Identity Services Engine - ISE (Tacacs, Network Access Control), • Load Balancing: F5,, • Riverbed Steelhead, • Monitoring: SolarWinds, • Wireless Lan Controllers: Cisco, • Complex Natting, • Experience with market data / trader platforms / cloud (essential), • Raising/chasing issues with market-data leased lines and provider networks, • Supporting connectivity issues for multiple trader platforms, • Cloud connectivity: Azure, AWS, GCP, OCI (Oracle Cloud) knowledge of VPCs etc, • Multicast support and troubleshooting, • Ability to cope successfully under pressure and with shifting priorities Normal working hours are 8 hours per day Monday to Friday between the hours of 07:00 - 16:00 and 09:00 - 18:00. This is a hybrid-based role with 2 days a week on-site at the customers offices in Central London. The role involves out of hours support paid as overtime for activities such as the deployment of changes escalation during major incidents. Occasional travel may be required depending on project work undertaken. • 25 days annual leave., • Pension scheme., • Private health insurance., • Enhanced maternity and paternity leave., • Death-in-service life cover., • Shopping discounts., • Cycle to work scheme., • Season ticket/gym loans., • Online wellbeing centre. This job description is intended to convey information essential to understanding the scope of the role and it is not intended to be an exhaustive list of skills, efforts, duties, responsibilities or working conditions associated with the position. #J-18808-Ljbffr

The TP ICAP Group is a world leading provider of market infrastructure. Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions. Through our people and technology, we connect clients to superior liquidity and data solutions. The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world’s leading provider of OTC data, and an award winning all-to-all trading platform. The Group operates from more than 60 offices in 27 countries. We are 5,300 people strong. We work as one to achieve our vision of being the world’s most trusted, innovative, liquidity and data solutions specialist. TP ICAP has Partnered with Amazon Web Services (AWS) to build the Next Generation of the Fusion Platform and make it Global Market Infrastructure. This role will be working in a new team to build out a new Platform based on the latest technology and architecture. You will be working alongside AWS and learning from the best. As a Senior Engineer you will be responsible for demonstrating excellent technical competencies with a desire to improve and mentor junior members of the team. You will take responsibility for your assigned work by taking ownership of the design, development testing and deployment of software across the team, and work closely with the Principal Engineer, Architects and Leads to ensure the successful deployment into production environments. Be able to drive engineering improvements whilst communicating principles behind your work to other team members and the wider organisation. Be proactive in supporting the team’s engagement in a well-defined SDLC that supports planning, prioritisation and delivery needs. Support the team in leading conversations around estimation by leveraging previous experience, challenging requirements and fostering potential solutions. Lead conversations around software systems to enable meaningful conversations about wider system architecture with Engineers. Evolve systems towards target state architecture by refactoring and prioritisation of deliveries. • Front-end skills Proficient in HTML5, CSS3, and Typescript, • Proficient in React, Redux, ReactQuery, • Experience with modern JavaScript frameworks - React, • Knowledge of version control systems (Git), • Understanding of cross-browser compatibility, • Familiarity with RESTful APIs, GraphQL and Websockets, • Experience with CSS pre-processors e.g. Tailwind, • Back-end skills Proficiency in backend programming languages (Typescript and/or other OOP language such as c#/Java), • Strong database knowledge (SQL and NoSQL), • Proficiency with RESTful APIs and GraphQL APIs and Websockets, • Experience with microservices architecture, • Knowledge of version control systems (Git), • Experience with Terraform, • Experience with automated testing, • Experience with AWS (AWS Lambda, AWS Fargate, Amazon API Gateway, AWS AppSync), • Worked within an Agile Cross-functional delivery team., • Developing well tested software into low latency event driven production environments., • Full software development lifecycle in a technical role., • Pub/Sub patterns with Messaging technologies (such as SOLACE/AMQP), • Worked within a technical platform team, delivering reusable services across multiple agile projects., • Microservice Architecture., • Containerization., • Maintaining code quality with Unit, Integration and e2e testing., • AWS cloud ecosystem and the AWS CLI (or industry equivalent)., • Linux shell or Windows PowerShell., • CI and CD flows within an enterprise environment., • Continuous Delivery Agile tooling to support team delivery, such as JIRA and other project management systems., • Open to innovative ideas/ experiences and ability to create new ideas, approaches or insights., • Seeks opportunities for improvements., • Demonstrates high levels of energy in seeking out and achieving new goals., • Can work with BA’s/PO’s to demystify ambiguity, handle challenge, and is comfortable to challenge team mates constructively., • Adapts communication style to suit audience., • Works ethically and shows respect for both professional and company values., • Excellent attention to detail, highly organised with a proactive approach., • Strong analytical ability and innovative problem solving skills., • Software Design Patterns., • Source control (Git)., • OOP SOLID Principles., • Demonstrable experience of C# (.Net 8+) in a professional environment., • Contribution to open-source projects., • Experience of regulatory driven projects., • Knowledge of Financial Markets, Systems and Over the Counter (OTC) products. At TP ICAP, we wholeheartedly believe in fostering inclusivity and cultivating a work environment where everyone can flourish, regardless of your personal or professional background. If you are enthusiastic about this role but find that your experience doesn't align perfectly with every aspect of the job description, we strongly encourage you to apply. You may be the ideal candidate for this position or another opportunity within our organisation. Our dedicated Talent Acquisition team is here to assist you in recognising how your unique skills and abilities can be a valuable contribution. Don't hesitate to take the leap and explore the possibilities. Your potential is what truly matters to us. We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement. UK - 135 Bishopsgate - London Connecting clients, communities and colleagues for sustainable growth TP ICAP connects people, platforms, ideas, and insight across the world’s financial, energy and commodities markets. As a global leader in market infrastructure and data-led solutions, we enhance market access, increase efficiencies, and unlock possibilities. Work with us Joining TP ICAP puts you at the heart of markets that matter. You’ll have the freedom to innovate and act on your initiative. We’ll train you and build your abilities in your specialist area, so that you can become an expert in your field. And all within a connected network that’s there to set you up for success. TP ICAP Group is a collection of premium brands each with a distinct, client-focused offering. Underpinning and connecting these client-facing brands is the financial security, operational strength and know-how we have as a Group. Connections are at the heart of what we do. We combine our people’s know-how with the latest technology to improve price discovery, trade execution and liquidity flow. Connections create strength. Through them, we help our clients to manage risk, realise investment strategies and expand the scope for growth. And connections act as a catalyst. Sparking richer solutions for our clients to break new ground, modernising markets for future performance, and creating dynamic careers for our people. Our capacity to connect builds trust, supports communities and gives us the power to anticipate and respond to change, whatever direction the world takes. It’s what makes TP ICAP a mainstay in the global markets, now and in the future. TP ICAP. We connect. #J-18808-Ljbffr

2 days ago Be among the first 25 applicants Turing is one of the world’s fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. You’ll be working at the intersection of software engineering, open-source ecosystems, and frontier AI. Project Overview: We're building high-quality evaluation and training datasets to improve how Large Language Models (LLMs) interact with realistic software engineering tasks. A key focus of this project is curating verifiable software engineering challenges from public GitHub repository histories using a human-in-the-loop process. Why This Role Is Unique: • Collaborate directly with AI researchers shaping the future of AI-powered software development., • Work with high-impact open-source projects and evaluate how LLMs perform on real bugs, issues, and developer tasks., • Influence dataset design that will train and benchmark next-gen LLMs. What does day-to-day look like: • Review and compare 3–4 model-generated code responses for each task using a structured ranking system., • Evaluate code diffs for correctness, code quality, style, and efficiency., • Provide clear, detailed rationales explaining the reasoning behind each ranking decision., • Maintain high consistency and objectivity across evaluations., • Collaborate with the team to identify edge cases and ambiguities in model behavior. Required Skills: • At least 3 years of experience at top-tier product or research companies (e.g., Stripe, Datadog, Snowflake, Dropbox, Canva, Shopify, Intuit, PayPal, or research roles at IBM, GE, Honeywell, Schneider, etc.), with a total of 7+ years of overall professional software engineering experience., • Strong fundamentals in software design, coding best practices, and debugging., • Excellent ability to assess code quality, correctness, and maintainability., • Proficient with code review processes and reading diffs in real-world repositories., • Exceptional written communication skills to articulate evaluation rationale clearly., • Prior experience with LLM-generated code or evaluation work is a plus. Bonus Points: • Experience in LLM research, developer agents, or AI evaluation projects., • Background in building or scaling developer tools or automation systems., • Commitment: ~20 hours/week (partial PST overlap required), • Type: Contractor (no medical/paid leave), • Duration: 1 month (starting next week; potential extensions based on performance and fit), • Rates: $40–$100/hour, based on experience and skill level., • Mid-Senior level, • Contract, • Information Technology and Engineering, • Software Development Referrals increase your chances of interviewing at Turing by 2x Get notified about new Software Engineer jobs in London Area, United Kingdom. London, England, United Kingdom 4 hours ago London, England, United Kingdom 4 months ago London, England, United Kingdom 3 days ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago London, England, United Kingdom 3 days ago Hounslow, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 month ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 2 months ago London, England, United Kingdom 2 weeks ago Greater London, England, United Kingdom 3 weeks ago London, England, United Kingdom 1 month ago London, England, United Kingdom 1 day ago London, England, United Kingdom 1 week ago London Area, United Kingdom £14.00 £16.00 14 hours ago London, England, United Kingdom 1 day ago City Of Westminster, England, United Kingdom 1 week ago London, England, United Kingdom 1 month ago London, England, United Kingdom 1 week ago Greater London, England, United Kingdom 3 weeks ago London, England, United Kingdom 3 months ago Greater London, England, United Kingdom £40,000 - £50,000 1 month ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 month ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago London, England, United Kingdom 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Join our bustling Bromley office, situated in one of London's greenest boroughs. Here you'll find plentiful and easy commuting routes, with central London just 15 minutes away by train. You will be joining a core Horizontal Engineering and Architecture team with members based across London, New York, and India, operating as a globally distributed engineering organisation. The team is structured into agile feature teams, each aligned to a distinct set of strategic products. We encourage a collaborative, engineering-led culture with a strong emphasis on technical excellence, continuous learning, and personal development. Engineers are encouraged to challenge existing approaches and contribute to the evolution of our technology strategy and platform. Team is focused on building innovative, scalable, and resilient solutions that advance the platform while delivering measurable business value. Team members are given the opportunity to influence technical direction, contribute to architectural decisions, and solve complex engineering challenges that have a direct impact across Global Markets. This is an environment for engineers who are passionate about technology, enjoy working on large-scale distributed systems, and want to play a key role in shaping the next generation of strategic platforms. We are seeking an exceptional Senior Engineer to help shape the future of our strategic Post Trade Data Platform, a critical component of our long-term data strategy. This is an opportunity to join a horizontal engineering team at the centre of a major transformation programme, with upcoming initiatives requiring the platform to scale to 10x current ingestion volumes while significantly enhancing data accessibility, usability, resilience, and quality. The platform underpins a growing range of business-critical capabilities, including operational intelligence, advanced analytics, and next-generation AI-driven use cases. As we continue to expand its global reach, we are looking for a technical leader who can combine deep engineering expertise with architectural vision to drive the platform forward. • Build innovative, scalable, and resilient solutions that advance the strategic data platform., • Define and drive the architecture and strategy to support the future needs of Operations and the business., • Provide technical leadership through architecture, design, code reviews, and pull request reviews, championing high standards of code quality and engineering excellence., • Mentor engineers and drive continuous improvement in platform capabilities, development practices, and operational effectiveness., • Deep solid expertise in Scala, Java, or another JVM language, including performance optimisation and tuning, • Strong experience with database technologies including Oracle Exadata at scale, MongoDB, Elasticsearch, or similar data platforms., • Solid Cloud and DevOps knowledge, including Linux/Unix, OpenShift/Kubernetes, and Ansible., • Experience building and supporting reactive, event-sourced systems., • Hands-on experience with Apache Spark and Apache Flink., • Strong understanding of Apache HTTP, Envoy, and REST API design., • Experience working with Protobuf, Avro, and Parquet data formats., • Knowledge of Iceberg, Databricks, and Hadoop ecosystems., • Follows TDD, ATDD and Clean Coding practices and used to setting up or working in an environment using CI/CD using tools such as Jenkins with build tools like Gradle, • Experience of Scrum/ Agile methods, • Experienced in using design patterns and following best software engineering practices, • A team player with strong interpersonal skills, e.g. collaborative working skills, • At Bank of America, we strive to prioritise employees' health and wellbeing - it's what makes us a Great Place to Work., • Private healthcare for you and your family plus an annual health screen to help you manage your physical wellness with the option to purchase a screen for your partner., • Competitive pension plan, life assurance and group income protection cover if you become unable to work as a result of a disability or health reasons., • We offer 26-weeks paid maternity leave, 16-weeks paid paternity leave and inclusive family leave arrangements for working parents and carers including 20 days of back-up childcare including access to school holiday clubs and 20 days of back-up adult care per annum., • 20 days of back-up childcare including access to school holiday clubs and 20 days of back-up adult care per annum., • The ability to change your core benefits as well as the option of selecting a variety of flexible benefits to suit your personal circumstances including access to a wellbeing account, travel insurance, critical illness, cycle to work etc., • Access to free counselling through the Employee Assistance Program and virtual GP services through our private health care plan., • Access to an Employee Assistance Program for confidential support and help for everyday matters., • Ability to donate to charities of your choice directly through payroll and the bank will match your contribution., • Opportunity to access our Arts & Culture corporate membership program and receive discounted entry to some of the UK's most iconic cultural institutions and exhibitions., • Opportunity to give back to your community, develop new skills and work with new groups of people by volunteering in your local community. Good conduct and sound judgment is crucial to our long term success. It's important that all employees in the organisation understand the expected standards of conduct and how we manage conduct risk. Individual accountability and an ownership mind-set are the cornerstones of our Code of Conduct and are at the heart of managing risk well. We are an equal opportunities employer and ensure that no applicant is subject to less favourable treatment on the grounds of sex, gender identity or gender reassignment, marital or civil partner status, race, religion or belief, colour, nationality, ethnic or national origins, age, sexual orientation, pregnancy or maternity, socio-economic background, responsibility for dependants or physical or mental disability. The Bank selects candidates for interview based on their skills, qualifications and experience. We strive to ensure that our recruitment processes are accessible for all candidates and encourage any candidates to tell us about any adjustment requirements. #J-18808-Ljbffr

ML Engineer£750 p/day | Inside IR35 | 6 Months | West London (2 days onsite) | BPSS RequiredWe're looking for an experienced ML Engineer to join a high-profile programme focused on delivering advanced machine learning and personalisation solutions at scale. This is an excellent opportunity to work with large datasets, cutting-edge ML technologies, and cross-functional teams to build impactful customer-facing products.Key ResponsibilitiesDesign, build, train and optimise machine learning models focused on personalisation, recommendation engines, ranking algorithms, user segmentation and content analysis.Develop and maintain scalable data pipelines to support feature engineering, model training and deployment across large structured and unstructured datasets.Deploy, monitor and maintain machine learning models in production environments, ensuring performance, reliability and ongoing optimisation.Design and analyse A/B tests and offline experiments to measure model effectiveness and drive continuous improvement.Collaborate closely with data scientists, engineers, product teams and stakeholders to align ML solutions with business and user requirements.Research emerging developments in machine learning, deep learning and personalisation technologies, identifying opportunities to enhance existing capabilities.Essential Skills & ExperienceStrong commercial experience building and deploying machine learning solutions in production environments.Hands-on expertise with recommendation systems, ranking models, personalisation, predictive analytics or related ML applications.Experience developing scalable data pipelines and working with large, complex datasets.Strong Python skills and experience with modern ML frameworks and tooling.Proven ability to design, execute and interpret experimentation frameworks, including A/B testing.Experience working within agile, multidisciplinary delivery teams.Excellent stakeholder engagement and communication skills.Role DetailsRate: Up to £750 per dayContract: 6 MonthsIR35: Inside IR35 (via Umbrella)Location: Hybrid, with 2 days per week onsite in West LondonClearance: BPSS requiredInterview: Technical interview processIf you're an experienced ML Engineer with a track record of delivering machine learning solutions at scale and are looking for your next contract opportunity, we'd love to hear from you.Reasonable Adjustments:Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.TPBN1_UKTJ

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Machine Learning EngineerRate: £770 per day (Inside IR35)Location: Osterley, West London (Hybrid - 2 days per week onsite)Clearance Required: BPSSThe OpportunityWe're looking for an experienced Machine Learning Engineer to join a high-performing data and AI team, focused on building and deploying machine learning solutions that deliver highly personalised user experiences at scale.This is an exciting opportunity to work on cutting-edge recommendation systems, ranking models, user segmentation, and content analysis capabilities, helping to drive data-driven decision-making and product innovation.Key ResponsibilitiesMachine Learning DevelopmentDesign, build, train, and optimise machine learning models focused on personalisation and recommendation systems.Develop solutions covering: Recommendation EnginesRanking AlgorithmsUser SegmentationContent AnalysisEvaluate and improve model accuracy, performance, and scalability.Data Engineering & Feature DevelopmentDevelop and maintain scalable data pipelines to support model training and feature engineering.Work with structured and unstructured datasets at scale.Ensure data quality, reliability, and efficient processing across the ML lifecycle.Production Deployment & MonitoringDeploy machine learning models into production environments.Monitor performance, availability, and model effectiveness over time.Implement processes to support model retraining and continuous improvement.Experimentation & OptimisationDesign and analyse A/B tests and offline experiments.Measure model effectiveness and user outcomes.Use insights to drive ongoing optimisation and product improvements.Collaboration & InnovationPartner with Product, Engineering, Data Science, and Business teams to align machine learning initiatives with strategic goals.Stay up to date with emerging developments in machine learning, deep learning, and personalisation technologies.Identify opportunities to introduce innovative approaches and improve existing solutions.Essential Skills & ExperienceStrong commercial experience as a Machine Learning Engineer .Experience designing and deploying machine learning models in production environments.Proven expertise in: Recommendation SystemsPersonalisation ModelsRanking AlgorithmsUser Behaviour AnalysisStrong Python development skills and experience with machine learning frameworks.Experience building scalable data pipelines and feature engineering processes.Knowledge of experimentation methodologies, including A/B testing.Experience handling large-scale structured and unstructured datasets.Strong understanding of MLOps, model deployment, monitoring, and lifecycle management.Excellent communication and stakeholder engagement skills.Desirable SkillsExperience with deep learning frameworks such as TensorFlow or PyTorch.Experience working with cloud-based data and ML platforms.Exposure to real-time recommendation systems and large-scale personalisation products.Experience within customer-facing digital or media environments.If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.TPBN1_UKTJ

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Test Development Engineer Job – Middlesex An exciting Test Development Engineer job is available in Middlesex for an engineer with a passion for designing advanced automated test and measurement systems for high power RF and microwave products. This Test Development Engineer job offers the opportunity to work on cutting edge technology while supporting the development, validation and production of complex RF amplifiers. The Test Development Engineer Job Responsibilities The successful candidate will: Design and develop Automatic Test Equipment (ATE) for high power RF amplifiers. Interface test systems with Vector Network Analysers (VNAs), RF power meters, spectrum analysers and other laboratory equipment. Design safe test solutions for equipment operating with hazardous voltages. Develop computer controlled test procedures and automated data capture systems. Support Production Test Engineers with component level fault finding and root cause investigations. Work alongside Design Engineers to ensure products are designed for efficient testing. Write and maintain Acceptance Test Procedures (ATPs) and TWT alignment procedures. Develop Environmental Stress Screening (ESS) methods and test equipment. Plan and execute product validation, qualification and design verification testing. Support and train Production Test Engineers on new test equipment and procedures. Support New Product Introduction (NPI) reviews to ensure test readiness. Produce technical reports and documentation for test activities. Key Responsibilities Design, manufacture, commission and verify custom test equipment and fixtures. Develop and maintain ATE software and configuration control. Ensure all test equipment and procedures meet safety requirements. Develop and approve Acceptance Test Procedures. Support First Article Inspection, Design Validation and Product Qualification testing. Provide detailed fault finding and root cause analysis to support production. Skills and Experience The ideal candidate will have: BSc or HND in Electrical/Electronic Engineering, Physics or a related discipline. Experience with analogue electronic circuits. Knowledge of power electronics. Experience using RF and microwave measurement equipment. Knowledge of LabVIEW for ATE design and implementation. Understanding of high voltage safety hazards and protection methods. * Strong fault-finding and analytical skills. Why Apply? This Test Development Engineer job offers the opportunity to work on innovative RF and microwave technology within a collaborative engineering team in Middlesex. The successful candidate will play a key role in developing advanced automated test systems while supporting the delivery of high performance products. If you are looking for an Test Development Engineer job where you can combine embedded systems, RF technology, automation and problem solving, this Test Development Engineer job in Middlesex offers an excellent opportunity for career development. This job is based in Middlesex and provides the chance to work on technically challenging projects within a growing engineering business

Job Title: High Level Technician (Rolling Stock) Job Location: Southwest London Hourly Pay Rate: £31.48 PAYE / £ 41.11 Umbrella Shifts: Minimum of 50 hours a week Shift Pattern: Panama . Days and nights Duration: On-going contract Start Date: ASAP Industries considered: Rail, Rolling Stock, RAF, REME, Army, Navy, Marine, Avionics, Rolling Stock, Commercial/Industrial Electrics, Defence, Plant Engineering, SPM, HVAC, and Process Engineering Disciplines considered: Diesel Engine Fitter, Electrical Engineer / Mechanical Engineer, Mechanic, Avionic Technician, Aircraft Engineer, Marine Engineer, Maintenance Fitter, and Breakdown Engineer Client Summary: A world-renowned Rolling Stock vehicle manufacturing, service and maintenance company and is the number one provider of rail solutions in the world. This prestigious company is also the largest rolling stock manufacturer and provider in the UK and employs over 70,000 employees in 60 countries worldwide. Position Summary: Reporting to the Reliability Shift Manager, as part of a small technical team, you will be required to assist the Fleet Operator to undertake / supervise primarily in the corrective mechanical and electrical maintenance, detailed fault finding and repair on the Class 345 Crossrail fleet of trains. Successful applicants will be responsible for ensuring that any maintenance undertaken at the depot is completed in accordance with the company's processes, procedures and comply with all safety regulations. This is Safety Critical environment and all tasks undertaken will need to ensure that the operator can achieve and maintain the reliability and availability targets set for the trains. The candidate will also assist the Operator when failures occur during service, and resolve any issues on the network. The candidate will need to provide high level technical support to the operator which will include: High Level fault finding electrically High Level fault finding mechanically Provide train systems engineering advice for the vehicle as a whole and for the key vehicle systems (such as TCMS - train control system, HVAC, propulsion, brakes, doors, on-train communications etc.) FRACAS - Failure reporting, analysis and corrective action system Produce solutions that provide short term mitigation and long term resolution Monitoring of warranty issues and liaising with supplier technical teams Attending to faulty trains in service, component replacements and modification work Helping customer with root cause analysis using Alstom FRACAS, 8D, PPS methodologies. Ensuring correct replacement parts are sourced Assisting operator in updating of maintenance instructions, overhaul instruction, processes & procedures to optimize maintenance and liaise with Alstom Technical Publications and Central Engineering teams where required Monitoring trains reliability & availability performance and issuing monthly performance reports Monitor of trains in Service using remote monitoring system called Orbita Down load train data from onboard train data recorders using laptops Run diagnostics software to identify faults with various train systems i.e. hydraulic systems, pneumatic systems, train management systems & on board computers. System software updates as required Obsolescence avoidance and mitigation Engineering support for all safety related incidents (NIRs), including representing the Customer with respect to access to Design Authority and equipment OEM's and the production of affirmative closing actions Service Provider representation on Failure Review Boards, feeding back decisions and outputs to the Customer Share experience gained of other fleets across the world which the Service Provider has supplied and/or supports, provision of recommendations and opportunities for design improvements, standardisation and/or modifications. Contribution to Health and Safety on a daily basis. Strong report writing skills. Qualifications: Minimum qualification required - NVQ Level 3 in an electrical discipline. Experience required: Experience within Rail desirable Use of Laptop's and diagnostic tools to determine faults Ability to work from maintenance manuals and schematics Experience of Mechanical or Electrical fault finding Experience of Mechanical or Electrical repairs Troubleshooting and evidence gathering. Person profile: You will be a highly self-motivated individual, able to work under your own initiative You will possess excellent communication & interpersonal skills You will need extensive all-round knowledge of Mechanical Engineering You will need extensive all-round knowledge of Electrical Engineering. This could also include the following: Responsible for accurate completion of all paperwork prior to supervisor validation. Undertake technical maintenance to the required standards. Reliability monitoring reporting Data analysing Rip out and replace electrical components Rip out and replace full or part of large wiring looms Re-install wiring Test Continuity Battery Modifications Repairing or installing Wi-Fi systems * Changing relay boxes / Wiper motors If you wish to be considered for this role please send your CV including scanned copies of your qualifications and a scanned copy of your passport to (url removed) OR call (phone number removed). PLEASE NOTE ALL APPLICANTS MUST BE ABLE TO PASS A DRUGS AND ALCOHOL TEST BEFORE BEING OFFERED A POSITION. Please note due to the volume of applications, we can only commit to contact those candidates we deem suitable for the position. However, we may retain your details and contact you in the future should suitable positions arise. Please note the above job specification could be subject

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

We are currently hiring for a Machine Learning Engineer - for an initial 3-6 months contract assignment. (Duration is very likely to extend).This is a hybrid working role with 2 days on site in Osterley, West London. Inside IR35Description and LocationMachine learning engineers act as critical members of the data science team. Their tasks involve researching, building, and designing the artificial intelligence responsible for machine learning and maintaining and improving existing artificial intelligence systems.Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis.Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets.Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance.Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs.Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systemsTPBN1_UKTJ

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Position: Domestic Gas Engineer Location: Field Based - SE / SM / SW Postcodes Salary: £50,437 per annum We currently have an opportunity available to join our client, one of the world's leading manufacturers of traditional gas and renewable heating systems, with a great salary and benefits package on offer, along with significant opportunities to train on and become a specialist on their systems. Domestic Gas Engineer Job Overview Completing regular servicing, fault-finding, and repairs on combi and system boilers Working on related equipment including cylinders, smart controls, pumps, etc Completing roughly 4 - 6 jobs per day, depending on location Travelling to customer sites across the SE, SM & SW Postcodes Domestic Gas Engineer Job Requirements ACS Domestic Gas certificates essential - ideally with 6 months left until expiry 5+ year's experience completing servicing and repairs on domestic boiler systems Full UK driving licence Based in one of the following postcode areas: SE, SM, or SW2,(phone number removed) Experienced in or happy to learn about commercial boilers and/or heat pump systems Domestic Gas Engineer Salary & Benefits Basic salary £50,437 per annum Company vehicle provided with personal use available for you and your direct family 33 days holiday (including bank holidays) Subsidised healthcare scheme Working hours: 8am - 4:30pm, with your working day finishing back at your doorstep Generous company pension scheme Death in service coverBennett and Game Recruitment are a multi-disciplined technical recruitment agency based in Chichester, West Sussex operating across the UK with specialist teams covering a range of industries. We are acting as a Recruitment Agency in relation to this vacancy, and in accordance with GDPR by applying you are granting us consent to process your data, contact you about the services we offer, and submit your CV for the role you have applied for

Role OverviewWould you like to join a truly international, talent driven company that values Safety, Ethics, Quality, Innovation and Employee Opportunity?Otis is growing and is looking for a maintenance/service engineer for to cover n West London. Your priority is to ensure the safety of passengers and technical stakeholders by safely maintaining a portfolio of lifts.On a typical day you will:Carry out 100% of the lift maintenance and service visits of the units within the west of London, covering areas like Camden town, Harlesden and Cricklewood.Work within the defined area, managing the portfolio of lifts within itRespond proactively and quickly to fix any breakdowns, aiming to achieve first time fixCarry out minor repairs to achieve continual operationLiaise directly with the customer while on site to build a good working relationshipWhat you will need to be successfulNVQ level 3 qualified within lift service, maintenance and/or repair.Hold a valid UK drivers licenseYou have at least 24 months of experience in the elevator sectorYou have hands on experience in electricity and electrical engineeringYou are a committed professional, with safety as your priorityYou are comfortable communicating to othersYou are curious, adaptable, and you know how to work alone or in a teamYou are comfortable using electronic and digital tools.What's In it For Me:We offer a fantastic salary, including overtime.We will train you intensively in the areas of technology, processes & soft skills and you can exchange ideas with experienced colleagues at any time.You will receive modern and high-quality work clothes, your own tools, an iPhone.The health and safety of our employees is our top priority. We promote this through regular training on the subject of occupational health and safety as well as through an employee support program.Apply today to join us and build what's next!.If you live in a city, chances are we will give you a lift or play a role in keeping you moving every day.Otis is the world's leading elevator and escalator manufacturing, installation, and service company. We move 2.4 billion people every day and maintain approximately 2.4 million customer units worldwide, the industry's largest Service portfolio.You may recognize our products in some of the world's most famous landmarks including the Eiffel Tower, Empire State Building, Burj Khalifa and the Petronas Twin Towers! We are 72,000 people strong, including engineers, digital technology experts, sales, and functional specialists, as well as factory and field technicians, all committed to meeting the diverse needs of our customers and passengers in more than 200 countries and territories worldwide. We are proud to be a diverse, global team with a proven legacy of innovation that continues to be the bedrock of a fast-moving, high-performance company.When you join Otis, you become part of an innovative global industry leader with a resilient business model. You'll belong to a diverse, trusted, and caring community where your contributions, and the skills and capabilities you'll gain working alongside the best and brightest, keep us connected and on the cutting edge.We provide opportunities, training, and resources, that build leadership and capabilities in Sales, Field, Engineering and Major Projects and our Employee Scholar Program is a notable point of pride, through which Otis sponsors colleagues to pursue degrees or certification programs.Today, our focus more than ever is on people. As a global, people-powered company, we put people - passengers, customers, and colleagues - at the center of everything we do. We are guided by our values that we call our Three Absolutes - prioritizing Safety, Ethics, Quality in all that we do. If you would like to learn more about environmental, social and governance (ESG) at Otis click here .TPBN1_UKTJ

Industrial Door Engineer – South London – Up to £21.00 Per Hour + Overtime Industrial Door Engineer Package Overview: £16.00 – £21.00 per hour + Overtime (Negotiable depending on experience) Full-Time, Permanent Monday to Friday Hours Area Covered: South London & the Surrounding Areas Company Overview – Industrial Door Engineer Our Client are currently looking for an Industrial Door Engineer to join their highly valued team on a Full-Time, Permanent basis. With many years’ experience in the industry, they’re entering another period of growth and are looking to expand their team due to customer demand. Industrial Door Engineer Role and Responsibilities: Installation, Service, Repair, Fault-finding & Maintenance of Industrial Doors such as; Roller Shutters, Sectional Doors, High Speed Doors, Loading Bay Equipment, Dock Levellers, Manual Doors, Fire Doors & More Field based role, covering a number of sites Working on a range of brands of manufacturer Take responsibility for the overall quality of the work delivered Carry out effective communication with customers at all times Ensure tasks are completed efficiently Providing support to team members where required Industrial Door Engineer Skills and Experience Required: A Full UK Driving Licence or equivalent (Essential) Ideally you will have at least 3 years’ experience working within the Industrial Door Industry (Not essential) Considering applicants with all or single discipline providing you are willing to train Knowledge of a range of manufacturers Desirable qualifications include: IPAF, CSCS/ ECS, SPA Passport, PASMA and/or City & Guilds A positive attitude and the ability to self-motivate is a must Benefits of this Industrial Door Engineer position include: Competitive hourly rate of up to £21.00 per hour (Negotiable depending on experience) Company vehicle & fuel card Plenty of overtime available if wanted Opportunity to earn more money via the on-call rota Annual leave provided Pension scheme On-going training opportunities * Travel Pay DON'T MISS OUT ON THIS GREAT OPPORTUNITY - APPLY NOW Get Staff acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers Please note that if you have not been contacted within 7 days, your application for this position has been unsuccessful. Industry Key Words: Industrial Doors, Roller Shutters, Sectional Doors, Overhead Doors, High-speed Doors, Fast-Action Doors, Loading Bays, Dock Levellers and Dock Shelters, Industrial Doors, Fire Doors, Rapid Roll Doors, Security Grilles, Shop Fronts, Security Shutters, Steel Doors, Up and Over Doors, PVC Curtains, Automated Entrance Doors, Strip Curtain Doors, Garage Doors, Scissor Doors, Hormann, BESAM, GEZE, Dorma, Tormax, Record, Label. Automatic Door, Aluminium Doors, Automatic Sliding Doors, Automatic Revolving Doors, Automatic Swing Doors, Bi-Parting Doors, Telescopic Sliding Doors, Double Doors, Single Fold Doors, Rotating Doors, Fire Doors, Garage Doors, High Speed Doors, Industrial Doors, Overhead Doors, Rapid Roll Doors, Roller Shutters, Sectional Doors, Security Grilles, Security Shutters, Shop Fronts, Steel Doors, Up and Over Doors, Folding Doors, Door Servicing, Door Installations, Door Repairs, ADSA Automatic Door Suppliers Association, BS 7858, BS EN16005, IPAF, CSCS, Entrance Control, DHF, Fabrication, Fabricators, ASSA, Abloy, Record, Geze, Dorma, Stanley, Tormax, Horton, Label, Hormann, Dormakaba, Besam

Shift Maintenance Engineer Heathrow £50,000 - £57,000 + Overtime + Training + Career Progression + Pension + Excellent Company Benefits Are you a Maintenance Engineer from a manufacturing/production/industrial background, looking for a shift-based role with overtime earning potential? On offer is a fantastic opportunity where you will carry out a mixture of planned and reactive maintenance across the site, with the chance to develop your skills and train to become a fully-fledged multi-skilled Engineer. Alongside this you will be able to substantially increase your earnings through the availability of enhanced overtime rates and the chance to progress within the wider business to senior and leadership positions. The company are at the forefront of automation and material flow solutions and have built a reputation based on their high-quality systems as well as a great company to work for due to their commitment to employee development. This position would suit an Engineer from a maintenance background, looking for a 4 on 4 off role with extra overtime earning potential. The Role: Planned and reactive maintenance across large site Ongoing training and development opportunities Overtime earning potentialThe Candidate: Mechanical or Electrical bias Previous maintenance experience within manufacturing/industrial/production etc. Reference Number: BBBH(phone number removed) To apply for this role or to be considered for further roles, please click "Apply Now" or contact Patrick Simper at Rise Technical Recruitment. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Fire and Security Engineer – South London– £36,000- £45,000 Per Annum Fire and Security Engineer Package Overview: £36,000 - £45,000 Basic Salary + Overtime (Negotiable depending on experience) Full-Time, Permanent Monday to Friday Hours Area Covered: South London & the surrounding areas Company Overview – Fire and Security Engineer Our Client are currently looking for a Fire and Security Engineer to join their highly valued team on a full-time, permanent basis. With many years’ experience in the industry, they’re entering another period of growth and are looking to expand their team due to customer demand. Fire and Security Engineer Role and Responsibilities: Installation, Service, Repair, Fault-finding & Maintenance of Fire Alarms, Intruder Alarms, CCTV & Access Control Systems Field based role, covering a number of sites Working on a range of brands of manufacturer Take responsibility for the overall quality of the work delivered Carry out effective communication with customers at all times Ensure tasks are completed efficiently Providing support to team members where required Fire and Security Engineer Skills and Experience Required: A full UK driving licence or equivalent (Essential) A drive and enthusiasm to grab hold of opportunities Ideally you will have at least 3 years’ experience working within the Fire and Security Sector Considering applicants with all or single discipline providing you are willing to train Knowledge of a range of manufacturers Desirable qualifications include: IPAF, CSCS/ ECS, FIA and/or City & Guilds A positive attitude and the ability to self-motivate is a must Benefits of this Fire and Security Engineer position include: Competitive basic salary of up to £45,000 per annum (Negotiable depending on skills and experience) Company vehicle & fuel card Plenty of overtime available if wanted Opportunity to earn more money via the on-call rota Annual leave provided Pension scheme On-going training opportunities Travel Pay DON'T MISS OUT ON THIS GREAT OPPORTUNITY - APPLY NOW Get Staff acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers Please note that if you have not been contacted within 7 days, your application for this position has been unsuccessful. Industry Key Words: Fire & Security, Installation Engineer, Maintenance Engineer, Service Engineer, Fire and Security Engineer, Security Engineer, Fire Alarm, Security Systems Engineer, Fire Extinguisher, Emergency Lighting, Nurse Call Systems, Disabled Refuge Systems, Fire Systems Engineer, Fire Engineer, Senior Fire Engineer, Fire & Security Systems Engineer, CCTV, Close Circuit Television, Automatic Number Plate Recognition, ANPR, Access Control, Door Entry, Automated Gates, Commissioning, Life Safety, Health and Safety, Fire Safety, Intruder Alarm, Fire Suppression, Fire Protection, Hikvision, Dahua, Qvis, Galaxy, Texecom, Scantronic, Paxton, PAC, Net2, Wisenet, Morley, Advanced, Kentec, C-tec, Gent, Hojicki, HiFire, Pelco, Menvier, Concept Pro, Haes, Notifier

AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies.Our Contingent Workforce Solutions (CWS) is one of our service offerings. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed.Our Client is a big four consultancy firm with a global presence, operating in over 150 countries. This organisation works with many public and private companies spanning multiple industries. The advisory work that they cover spans across audit, Accountancy, tax, corporate finance and consulting.On behalf of this organisation, AMS are looking for a Cybersecurity Engineer for a 6 Month contract based in London with 3 days/week in office.Purpose of the role:We are looking for an experienced Threat Modelling Security Engineer to identify security threats, define effective mitigating controls and manage findings throughout their lifecycle. You will deliver threat models to agreed timeframes, develop secure Python-based automation and help improve the existing threat modelling service. The role involves presenting technical work to senior and cross-functional stakeholders, while training and supervising junior team members. You will work with minimal supervision across cloud, DevOps and regulated security environments.What you'll do:Lead and deliver threat modeling activities using established methodologies to identify, assess, and mitigate security risks across applications and platforms.Develop and maintain automation tools and Python-based solutions to enhance security processes, operational efficiency, and service delivery.Manage the lifecycle of identified threats and controls, ensuring timely remediation, tracking, and validation of security measures.Deliver high-quality threat models and security assessments within agreed timelines, maintaining accuracy and attention to detail.Contribute to the continuous improvement of threat modeling processes, frameworks, tooling, and best practices across the organisation.Present security findings and recommendations to technical teams, senior stakeholders, and cross-functional audiences, influencing secure design decisions.Mentor, train, and provide guidance to junior team members while supporting the day-to-day operation and evolution of the threat modeling service.The skills you'll need:An experienced IT professional with cyber security or information security experienceTechnical expertise with threat modelling using STRIDE, PASTA, attack trees, tooling and MITRE ATT&CK.Cyber security experience covering authentication, authorisation, logging and monitoring, encryption, infrastructure security and network segmentation.Development and DevOps knowledge, including CI/CD, pipelines, SDLC, scripting, Infrastructure as Code (Terraform or CloudFormation), Docker, Kubernetes (K8s), serverless and Helm.Strong programming capability, preferably Python including asynchronous programming and FastAPI, plus unit testing with Pytest.Experience applying security standards and SDLC controls to software platforms.Experience identifying vulnerabilities using CWE or OWASP, hardening operating systems, and designing or reviewing technical architectures.Working knowledge of agile/DevOps delivery, Jira, CDK/GitOps, penetration testing and technologies such as Snowflake, MongoDB, Terraform Cloud, GitHub or Databricks.Analytical and adversarial mindset, attention to detail, problem-solving ability and a commitment to continuous learning.Strong documentation, research, communication and collaboration skills, with experience building relationships across diverse teams in a regulated environment.Desirable - Professional-level cloud certification, vendor cloud security certification and professional cyber security certification from either AWS, CGP or AzureNext stepsNext stepsThis client will only accept workers operating via an Umbrella or PAYE engagement model.If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and we will contact you with an update in due course.AMS, a Recruitment Process Outsourcing Company, may in the delivery of some of its services be deemed to operate as an Employment Agency or an Employment BusinessTPBN1_UKTJ

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

On offer is a fantastic opportunity where you will carry out a mixture of planned and reactive maintenance across the site, with the chance to develop your skills and train to become a fully-fledged multi-skilled Engineer. This position would suit an Engineer from a maintenance background, looking f

Direct message the job poster from Generative We are on a mission to redefine drug development by building the first foundation model of microbiome-drug interactions. We’re looking for a founding Principal Machine Learning Engineer a hands-on technical leader ready to architect core AI systems and write production code daily. What you’ll do: • Architect cloud infrastructure for distributed ML pipelines using PyTorch, including cluster management and spot instance orchestration, • Design, prototype, and train large models integrating multi-omic and clinical data, • Lead MLOps: CI/CD, model deployment, experiment tracking, and reproducibility, • Collaborate with scientists and data engineers to translate biological data into predictive AI systems, • Contribute to foundational model architecture decisions and future open-source initiatives Your profile: • 5+ years building and deploying ML systems at scale, • Expertise in PyTorch and modern ML tooling (ML Flow, Weights & Biases, Sagemaker, Ray), • Experience in cloud and containerized deployment, • Interest or experience in biology, bioinformatics, or healthcare, • Proven track record of building research environments and deploying production-ready models, • Be a founding member of the engineering team with significant equity and full system ownership, • Work on cutting-edge models at AlphaFold scale while staying hands-on, • Drive real-world impact on patient outcomes alongside leading scientists in microbiome research If you’re ready to push technical boundaries and transform drug development, this is your chance to make a real difference. • Mid-Senior level, • Full-time, • Information Technology, • IT Services and IT Consulting Referrals increase your chances of interviewing at Generative by 2x Get notified about new Machine Learning Engineer jobs in London Area, United Kingdom. London, England, United Kingdom 3 days ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 7 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr