Ai engineer jobs in Manchester - Page 5Create job alerts

A leading data integration company in Manchester seeks a Senior Staff Software Engineer to drive architecture and build tools for agentic AI systems.

This is a remote opportunity for an initial 6-month contract offering up to £700/day. A UK-based AI scale-up is seeking a Senior Software Engineer with expert-level knowledge of MongoDB.

Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Train online at your own pace and land your first AI Engineer role in 1-3 months. Step 1 - AI Engineering Fundamentals.

A leading financial services provider is seeking a Technical Specialist for Agentic AI Implementation in Manchester.

A leading AI consultancy firm is seeking a Mechanical Engineering Expert to work remotely.Responsibilities include developing complex mechanical problems for AI testing and conducting technical audits of AI-generated outputs.Candidates must have a Master's or PhD in Mechanical Engineering and domain

My client, a forward-thinking financial services organisation, is seeking an AI Implementation Engineer to deliver practical AI solutions that streamline operations and improve business performance. AI Implementation Engineer – Financial Services (Manchester / Hybrid).

A leading UK startup is seeking a Full Stack Engineer to manage and evolve software products that support sustainable agriculture.You'll lead development, integrate AI tools, and work closely with the product team on core systems.This role offers autonomy and the chance to impact real-world climate

A financial services company located in Manchester is seeking an experienced Senior Software Engineer.You'll work in collaborative teams, utilizing AWS and technologies like Typescript and Java, to lead feature delivery and mentor peers.The role encourages innovation and perspectives on modern codin

A leading financial services provider in Manchester is seeking a Technical Specialist to drive automation solutions and integrate AI agents with internal tooling.You will design scalable systems, collaborate with teams on modernization initiatives, and lead technical delivery in a complex environmen

A Tech for Good startup in the mental health sector is seeking a Founding Engineer to build a mobile-first platform alongside an elite athlete founder.

Working knowledge of Azure services including Application Insights, Azure DevTest Labs, API Management, Web and Mobile Apps, and Windows VMs. AI-102 Azure AI Engineer Associate) are advantageous. Knowledge of security best practices in cloud environments such as Certified Cloud Security Professional

A financial services company in Manchester is looking for a Java Full Stack Engineer with AI-driven development experience to join their Conventional Trust Platform team.The role includes defining enterprise technology strategies, championing AI practices, and overseeing end-to-end platform delivery

The successful candidate will have strong experience in AI/ML engineering with a focus on developing AI-powered solutions. A technology company in the United Kingdom is looking for a Contract AI/ML Engineer to join their team.

A leading security-focused technology firm in Manchester is seeking a Cyber Software Engineer to join teams pioneering in AI, Cyber, and Cloud technologies.The role involves developing critical systems for National Security and requires strong programming skills, specifically in C or C++.Applicants

A leading tech firm in Manchester is seeking a Mid-Level Software Engineer to contribute to cutting-edge CCaaS platform development. You will be responsible for backend and frontend development, enhancing customer-facing features, and utilizing AI-driven engineering practices.

As a Data Scientist / AI Engineer within the AI team, you will take end‑to‑end ownership of the LLM‑powered features and agentic pipelines that form the core of our products. We are looking for a Data Scientist / AI Engineer to join our expanding AI team at Fletchers Solicitors. Data Scientist

A leading technology company is seeking a Senior QA Engineer to join the Insurer team.

A dynamic tech company in Manchester is seeking a proficient QA Engineer to enhance their testing processes. Strong communication skills are essential as you'll be collaborating with cross-functional teams to ensure quality and efficiency across development cycles.

A leading technology firm is looking for an experienced engineer to work on ML and AI systems in Manchester.The position involves developing and designing new features, leading projects, and mentoring junior engineers.Ideal candidates will have strong programming skills in C, C++, and Python, as wel

A technology company specializing in computer vision is seeking a Computer Vision Engineer in Manchester, UK.This role involves developing algorithms for detecting customer actions and improving existing systems using AI.Candidates should possess strong Python skills, familiarity with libraries such

A leading global travel company seeks a Machine Learning Engineer II in Manchester to design and optimize AI systems with a full lifecycle approach.Candidates should have extensive experience and expertise in machine learning techniques and strong proficiency in Python.This position offers competiti

A leading education provider is offering an AI Engineer Placement Programme in the United Kingdom designed for individuals seeking a career change with zero experience needed.This online program allows candidates to train at their own pace, covering essential skills in AI, Python, and machine learni

Entry-level AI Engineer roles across multiple industries. Complete online training designed to take you from beginner level to your first AI Engineer role. AI Engineer Programme – Job Support Included.

Job title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy's business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Senior Machine Learning Engineer, you will use your skills to: Tune machine learning methods to best leverage our state-of-the-art processing capabilities Deploy and maintain machine learning methods in a DevOps / MLOps based machine learning environment Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standards Your work will enable sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline by using robust test-driven development (TDD) approaches to maximise performance and robustness, and improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical Underwriting Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software. Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible. Tune machine learning methods for optimal performance. Deploy and maintain machine learning methods in our machine learning pipeline using robust test-driven development (TDD) coding approaches, using the SOLID software development principles. Actively contribute to creating a culture of coding and data excellence Implement efficient solutions across a range of markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home Lead and mentor junior machine learning engineers and share best practices Key Skills and Experience: Previous experience in tuning and deploying machine learning methods Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience in data and model monitoring is a plus Behaviours: A high level of professional/academic excellence, educated to at least a master's level in a STEM-based or DS / ML / AI / or mathematical discipline Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes TPBN1_UKTJ

Are you looking for your next high-impact AI contract where you can hit the ground running and deliver real value from day one? Manchester / Remote (UK-based) Contract (Outside IR35) ⏳ Initial 6 months (extension likely) We're working with a well-funded, fast scaling, technology led organisation investing heavily in AI, machine learning and data platforms. We’re looking for a stong AI Engineer to join on a contract basis who enjoy building real-world AI applications. As an AI Engineer you will be: Designing and building AI/ML solutions end-to-end Working with APIs, data sources, and cloud platforms Collaborating with product, data, and engineering teams Experimenting with and implementing modern AI frameworks and tools Helping improve performance, scalability, and reliability We’re open to a range of backgrounds, but typically the successful AI Engineer will have: ✔️ Experience as an AI Engineer, ML Engineer, or Data Engineer ✔️ Strong programming skills (Python) ✔️ Experience with LLMs or modern AI tools (e.g. APIs, LangChain, vector databases) ✔️ Understanding of data pipelines and working with datasets ✔️ Familiarity with cloud platforms (AWS, Azure, or GCP)

Senior AI Engineer We’re looking for a hands-on Senior AI Engineer to build real-world AI systems that deliver measurable impact across customer journeys and internal operations. This role is all about turning emerging AI capabilities-LLMs, agentic systems, ML models, workflows, and AI services-into robust, production-ready solutions. What You’ll Do Design, build, and integrate AI applications into end-to-end workflows. Embed agentic AI into customer and operational processes with reliability, resilience, and safe fallback behavior. Collaborate with Product, Engineering, Data, and Operations to take AI solutions from concept to production. Establish best practices for orchestration, testing, monitoring, and operational safeguards. Evaluate emerging AI capabilities and translate them into practical, high-value implementations. What We’re Looking For Strong software engineering background (Python), with experience delivering production AI or ML-integrated systems. Hands-on experience with LLMs, AI services, or agentic AI frameworks. Practical understanding of AI production concerns: latency, resilience, observability, safety, and maintainability. Systems thinker who collaborates effectively across teams and communicates clearly. Passion for applied AI and agentic systems, with a focus on turning capabilities into tangible outcomes. Bonus if you have: AWS AI/ML experience, building autonomous workflows, regulated industry exposure, or contributions to the AI community. Benefits: Training and development budgets A culture of collaboration and growth so your career can become what you want it to be. Hybrid working – balance of remote working and on-site to suit your work/life balance. Join us and help shape the future of AI-driven systems in a fast-moving, hands-on environment. Interested? Please Click Apply Now Senior AI Engineer (Agentic AI) – Applied AI in Production

Lead Software Engineer | Node.js | Education Software | up to £80,000 + shares Our client is an EdTech/SaaS company building an advanced digital learning platform focused on immersive and interactive educational experiences. As the platform continues to evolve across the UK and US, they are looking for a Lead Backend Engineer to play a key role in shaping backend systems, architecture, and engineering standards within a small, collaborative engineering team. The Role: This is a hands-on leadership role for an experienced engineer with strong expertise in Node.js. You’ll work closely with mobile, Unity, and senior engineers, partnering with the Technical Product Lead to ensure predictable delivery and strong engineering discipline. This role is not people‑management focused, but requires clear technical leadership, mentoring, and influence across engineering teams. Key Responsibilities Lead backend engineering across the platform, ensuring performance, security, and maintainability Act as the senior hands-on engineer for Node.js backend development Collaborate closely with Unity, mobile, and client-side teams to ensure backend services reliably support immersive, content‑rich experiences Own API design and server-side architecture, building scalable, well-documented services Drive backend delivery processes, workflow optimisation, CI/CD, and deployment best practices Develop integrations with external services, including AI-driven functionality Own backend cloud environments and data flows, proactively identifying performance, scalability, and reliability risks Support onboarding of future engineers and contribute to long-term backend technical strategyAbout You Strong commercial experience as a developer, focusing on Node.js development Confident designing backend architectures and APIs for cloud-native platforms Interest or experience integrating AI-powered or data-driven services Comfortable communicating technical decisions clearly to both technical and non-technical stakeholders Hands-on, proactive, and pragmatic, with high standards for code quality and deliverySalary & Benefits £70,000 – £80,000 + shares (£100k–£112k total package) Hybrid working – 3 days onsite in Manchester, 2 days from home 23 days holiday + bank holidays (negotiable)

Engineering Lead - Backend | Node.js / C# | Education Software | up to £80,000 + shares Our client is a rapidly scaling EdTech/SaaS company redefining digital learning through immersive, interactive content. As they continue strong UK/US expansion, they’re hiring a Lead Backend Engineer to take ownership of backend systems, architecture, and engineering quality across their platform. The Role: This is a hands-on role for an experienced backend engineer strong in Node.js and C#. You’ll guide backend engineering standards, shape architecture, deliver complex features, and own service reliability and performance. You’ll collaborate closely with mobile, Unity and senior developers, while working with the Technical Product Lead to ensure predictable delivery and high engineering discipline. Not people management focused, but strong technical ownership, mentoring and influence. Key Responsibilities Lead backend engineering across the platform, ensuring performance, security, and maintainability Act as the senior hands-on engineer for Node.js backend development Work with C# and Unity teams, providing guidance and high-quality code review Own API design and server-side architecture, ensuring scalable and well-documented services Drive backend delivery processes, workflow optimisation, CI/CD, and deployment best practices Develop integrations with external services, including AI-driven functionality Oversee backend cloud environments and data flows, identifying risks and performance issues early Support onboarding of future engineers and contribute to longer-term backend strategyAbout You Strong commercial experience in backend engineering with Node.js and C# Confident designing backend architectures and APIs for cloud-native platforms Interest or experience in integrating AI-driven services Strong communicator who can translate technical detail clearly Hands-on, proactive and pragmatic, with high standards for code qualitySalary/Benefits £70,000 - £80,000 + Shares (£100k–£112k total package) Hybrid working - 3 days onsite in Manchester, 2 days work from home 23 days holiday + bank holidays (negotiable)

Job Title: Cloud Network Engineer (Design & Implementation, Consultant) Location: England (Home based with client visits across England). Salary: Up to £70,000 basic salary plus great benefits package Sector: Consultancy/Solution Provider The Company Our client is a professional services consultancy who specialise in providing businesses with SDN, network assurance, network automation and hybrid cloud solutions to a variety of sectors, predominately defence, central government, healthcare and financial services. Due to working on projects for UK government, active SC clearance is advantageous or eligibility is a must. Role Snapshot As a Cloud Networking Engineer, you will be an integral member of the professional services team, responsible for the design and implementation of cutting-edge solutions, heavily Juniper orientated. The role will entail, producing HLD/LLDs, assisting with migrations, day-to-day delivery tasks and providing ongoing support as a trusted advisor to the companys clients ensuring the solutions and services provided are at an optimal level. This role suits someone looking to take a step up and has ambitions to widen their remit within projects and delivery, moving into a Senior or Principal Consultant role. Key Responsibilities Assisting with delivery and migration of network, data centre, hybrid cloud and security solutions. Provide exceptional customer services. Contribute to knowledge centre and keep documentation up to date. Be willing to work in a vendor agnostic environment and stay up to date with the latest technologies. Essential Skills and Experience Significant hands-on Juniper networking experience including EX/QFX switching, SRX firewalls and Mist AI-driven wired and wireless assurance. Capable or understanding and operating advanced switching and routing environments. Produce HLD/LLD and be design authority across compute, networking and security. Design and deliver solutions that are on-premises, hybrid cloud and modern DevOps aligned delivery models. Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical audiences. Possessing a growth mindset and can do attitude is vital, being part of a small team, you will be encouraged to step out your comfort zone from time to time. Nice to Haves VCF (VMware Cloud Foundation) SDDC (Software Defined Datacentre) - Virtualised datacentre functions such as VMware NSX and Virtualised firewalling. Multi-cloud experience: Azure, AWS, Google or Oracle Certifications Nice to Have, not Essential JNCIA, JNCIS or higher. Additional Requirements: Willing to travel to customer sites across the UK A valid UK driving license. Some of the customer sites are hard to get to via public transport and driving is the only option. UK Security Check (SC) Clearance or eligibility will be required, for example UK national or being a UK resident for at least 5 years is required to obtain the correct level of clearance any applications from outside the UK will automatically be rejected. Apply now for immediate consideration. Please note, Lucronex is a specialist IT recruitment agency advertising this role on behalf of our client.As a recruitment agency, Lucronex operates in accordance with the Conduct of Employment Agencies and Employment Business Regulations 2003. We are committed to providing a professional and transparent service to all job seekers and employers. For further information about how we process your data and handle your application, please refer to our Privacy Policy available on our website. Key Skills: Juniper Mist AI, Juniper EX/QFX switching, Juniper SRX firewalls, Cloud Networking. TPBN1_UKTJ

AI Engineer Placement Programme- No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? Their AI Placement Programme is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Candidates earn £28,000-£45,000. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. They Get You Hired They 're not new to this. The company has 15+ years of experience and has placed over 5,000 people into new roles. Their job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. They don't believe in empty promises. Complete their programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, they'll help you turn that into a career you can be proud of. Apply now, and one of thier expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Data Engineer (Python) 6 months initial 2 days a week onsite in Manchester Outside IR35 This organisation delivers data-driven insights to media and market research clients. Its platform provides actionable data solutions to global brands, helping them make informed, strategic decisions. The Role You will join the Data Products team and take ownership of building and evolving behavioural data products. You will turn raw data signals into structured, high-quality datasets. You will use Python and SQL to define schemas, apply business logic, enforce quality checks, and deliver client-ready data feeds. The role follows a hybrid model with two days in the office each week and the rest remote. Key Responsibilities • Design and evolve data product schemas, translating requirements into well-structured datasets, • Build and maintain data feeds using Python and SQL for transformation, validation, and delivery, • Monitor and improve data quality through checks, diagnostics, and analysis of large datasets, • Work with Product, Engineering, Apps, and ML teams to deliver new features and improvements, • Maintain clear, accurate documentation for data products and processes About You You enjoy working close to data and solving how real-world behaviour translates into clean, reliable datasets. Required Skills • Strong Python skills with experience writing production-quality data pipelines, • Solid SQL skills with experience handling large datasets, • Strong attention to detail with a focus on data quality and validation, • Clear communicator who works well across teams, • Comfortable using AI tools to improve productivity and learning Nice to Have • Experience with AWS data tools such as S3, Spark, Athena, or workflow orchestration tools, • Exposure to AI-assisted workflows Why Join You will join a team that values growth, collaboration, and continuous improvement, with support to develop your skills and progress your career

Software Engineer | Building Intelligent Systems That Make an Impact London, Manchester or Cheltenham 4 or 5 days a week on site Existing SC or DV Clearance is required National Security Sector Tech: JAVA/C++/Python - or Devops/Data Background An exciting opportunity has arisen for a Software Engineer to join a cutting-edge team developing impactful, mission-driven technology. The role offers the chance to contribute to projects such as AI-powered tools for analysts and operators, secure data pipelines, and innovative prototypes that explore new frontiers in software capability. You'll become part of a tight-knit, highly capable engineering group that values independence, precision, and tangible outcomes. This is a place for people who enjoy solving complex problems, experimenting with new ideas, and seeing the real-world effects of their work. Key Skills and Attributes Skilled in producing robust, readable, and scalable code Adaptable and eager to master new technologies or unfamiliar environments Excellent communicator who thrives in cross-functional collaboration Engaged participant in agile processes, including stand-ups and sprint reviews Comfortable taking projects from initial concept through to delivery Analytical thinker who can decompose challenges and deliver iterative value Preferred Background Experience using Java, C++, or Python Understanding of data-intensive systems, backend services, or cloud-based platforms Familiarity with regulated, high-security, or mission-critical development contexts Confidence working in research-led or exploratory project settings Curiosity about artificial intelligence, public sector innovation, or national security technology Interest in influencing technical direction and supporting team evolution over time This role is ideal for someone who wants to push boundaries, collaborate with talented peers, and build software that delivers genuine impact. You'll have the autonomy to explore, innovate, and shape solutions that matter. TPBN1_UKTJ

Train online at your own pace and land your first AI Engineer role in 1-3 months. Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Master prompt engineering, learning how to craft

This is a foundational engineering hire with a clear path to Head of Engineering as we scale. Build and maintain Python/Azure-based services — APIs, data pipelines, monitoring and audit frameworks. We are an Imperial College London med tech spinout building AI-powered clinical decision-support too

Train online at your own pace and land your first AI Engineer role in 1-3 months. Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Trainee AI Engineer – No Experience Needed.

We’re looking for a Senior AI Engineer (FinLLM / NLP) to help drive the next generation of AI systems powering financial services. Work closely with product, engineering and data teams to deliver AI solutions. You’ll work alongside our NLP team, software engineers, and product leaders to build c

Circuit Medical is a well-established, research-driven global consultancy and AI solutions provider, that maximises the value of medical affairs for the biopharmaceutical industry, supporting leading companies like AstraZeneca, Roche, and Takeda. We’re looking for leading AI Engineers who can take

You’ll help push the boundary of what’s feasible with modern AI-powered software development tools (Cursor, Windsurf), keep up with the regular drumbeat of AI advances, and find new and exciting ways to build and explore new features faster. We’re looking for a Software Engineer to bring their

As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring

Senior DevOps Engineer | AI‑Driven SaaS | Azure | Tech Scale Up | Oxfordshire. We're looking for a Senior DevOps Engineer to join a highly collaborative engineering team, scaling modern cloud infrastructure for a global SaaS platform. Senior DevOps Engineer | UK Remote / Hybrid | AI SaaS | Azure |

While our internal environment is relaxed and highly collaborative, we maintain strong professionalism in our routines and customer interactions. Build, deploy, and maintain highly resilient, asynchronous workflows using Azure Durable Functions (Python 3. We are deploying AI into high-stakes environ

Full Stack Engineer (AI & Cybersecurity Startup) - EU Remote. Full Stack Engineer (AI & Cybersecurity Startup) - EU Remote. We're partnering with a well-funded AI startup (stealth for now) that’s building at the intersection of.

Task review and pair programming with a team member (1 hour). We're building the world's first AI-native commerce infrastructure platform, working with bleeding edge technologies and paradigms to redefine how businesses sell online. Join our early team and help shape the future of AI commerce.

As a Founding AI Simulation and Control Engineer, you will have direct responsibility for the development and deployment of Optimal's AI agents at the most advanced greenhouses in the world. This role is aimed at an ambitious engineer who is looking to play a fundamental role in delivering AI produc

You will operate at the intersection of backend engineering and applied AI, designing and building scalable systems that support production grade AI workflows. Strong backend engineering experience with Python. Hands on experience with RAG, prompt engineering, or agent based systems.

As an AI Engineer, you will contribute to designing, developing, and implementing AI-driven solutions. This is a full-time hybrid role for an AI Engineer, based in Greater London with opportunities to work from home. Northell partners closely with clients to tailor AI-driven solutions for their uniq

Job Description AI Solution Engineer (Pre-Sales / Consulting) ?? Manchester (3 days on-site) ?? £50,000 to £70,000 We're working with a high-growth AI business who are scaling their solutions team in Manchester following continued growth. This is not a pure AI engineering role. It sits between s

Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Job Description Trainee AI Engineer - No Experience Ne