A fantastic opportunity for a Senior or Principal Machine Learning Engineer to join a fast-growing, health-tech company developing advanced machine learning and computer vision models used within clinical research and drug development. The business is building large-scale, production-grade ML systems applied to complex 3D imaging data.

This role is highly engineering-focused, sitting between machine learning, infrastructure and deployment. You will work closely with ML Scientists and engineering teams to ensure models can be trained and deployed reliably at scale.

Location: 1 day per week in London - Shepherd’s Bush (4 days remote)

Salary: £70,000 – £90,000 per annum, with flexibility for the right candidate, plus benefits

Requirements for Senior / Principal Machine Learning Engineer:

Strong relevant industry experience in machine learning engineering

Strong Python and PyTorch experience

Experience training machine learning models at scale

Experience building and maintaining model deployment and inference pipelines

Hands-on experience using Docker in production environments

Strong Linux and Git skills

Experience working in cloud environments (AWS, GCP or Azure all acceptable)

Experience working with CI pipelines

Proactive, self-sufficient and highly communicative working style

Strong English written and verbal communication skills

Educated to a minimum of Masters Level

Responsibilities:

Develop, train and deploy machine learning models into scalable production environments

Support and improve large-scale model training and inference pipelines

Collaborate closely with ML Scientists to productionise research models

Work with engineering teams to ensure robust, secure and efficient deployment

Contribute to code quality, documentation and best practices across the ML engineering function

What the role offers:

Work on impactful health-tech

Exposure to large-scale, real-world machine learning systems

A technically strong and collaborative engineering environment

Hybrid working with a remote-first approach

Clear cut career trajectory to becoming Head of Machine Learning

Applications:

If you would like to apply for this unique Machine Learning Engineering role, please send your CV via the relevant links.

We are committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing . If this email address has been removed by the job board, full contact details are readily available on our website.

Keywords: Senior Machine Learning Engineer / Principal Machine Learning Engineer / ML Engineer / Applied Machine Learning Engineer / Computer Vision Engineer / AI Engineer / Research Engineer / Python / PyTorch / Linux / Docker / Cloud ML / CI Pipelines / Model Deployment / Inference Pipelines

RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists. Even if the above role is not of interest, please visit our website to see our other opportunities.
We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

The Opportunity

We have an exciting opportunity for a motivated Research & Current Awareness Advisor to join Ashurst’s global Research & Business Intelligence team on a full-time, 12 month fixed-term contract basis.

This hybrid role combines the functions of a Research Specialist and Current Awareness Advisor, to deliver both high-quality research and intelligence services and manage current awareness initiatives that keep our people informed of key developments across legal, regulatory, and industry landscapes.

The role can be based in either our Glasgow office or our London office with hybrid working.

A full job description including a breakdown of responsibilities can be found attached to the role on our careers page.

We are interested in hearing from people who have:

• Professional qualifications in Information Science or a related field; qualifications in law, library science, or knowledge management are an advantage.
• 2+ years of experience in legal research, current awareness, or a similar role within a law firm, legal or other professional services environment.
• Proficiency in legal and business research databases (e.g. Westlaw, Lexis, Practical Law, Mergermarket, Acuris, Nexis) with knowledge of resources in the wider legal information marketplace.
• Ability to communicate and collaborate effectively with cross-functional teams including subject specialists, IT professionals, suppliers and users.
• Demonstrated knowledge of digital tools and interest in generative AI, with the ability to leverage emerging technologies for current awareness innovation.

What makes Ashurst a great place to work?

We offer you all the things you should expect from an international law firm, some of which include:

• competitive remuneration with the flexibility to reward high performance;
• flexible working;
• corporate health plans;
• a global professional development offering for all employees; and
• an industry-leading programme that celebrates diversity and inclusion.

We are committed to delivering positive impacts to our communities through our Social Impact programme.

We aim to recruit, retain and promote the best people from the widest possible talent pools. We are committed to offering a safe and welcoming environment for all employees to ensure they are supported to work at their best.

Beyond this, what sets Ashurst apart from others is our global strength, our drive to innovate and collaborate, and our commitment to excellence. It is these values that make Ashurst a unique place to work.

Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements Transition validated experiments into production-ready solutions, working closely with other engineers on deployment and monitoring Build and optimise ML pipelines using AWS services and experiment tracking tools Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches and contribute to feature store development Support production models through monitoring, performance analysis, and continuous improvement Apply responsible AI practices, including model explainability and fairness assessment Present experiment findings and production outcomes to stakeholders, articulating operational and strategic value Mentor junior colleagues and share learnings across the team About You You will have experience in many of the following: Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments Strong experiment design skills: hypothesis formulation, A/B testing methodology, and statistical evaluation Proven track record transitioning models from experimentation to production with appropriate governance and quality controls Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures It Would Be Great If You Also Had Experience In Some Of These, But If Not Well Help You With Them Experience with advanced LLM techniques: agents, tool use, and agentic workflows Experience with vector databases (Pinecone, Weaviate, pgvector) for RAG applications Experience with feature stores (Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience with data processing frameworks (Spark, Dask) for large-scale workloads Understanding of data governance and compliance frameworks TPBN1\_UKTJ

Quant Developer / Data Scientist Location: Flexible (Major Financial Hubs) Experience: 25 Years Compensation: Competitive + Performance-Based Bonus A leading asset management firm is seeking a highly talented Quant Developer / Data Scientist to join its systematic and discretionary investment teams. This is a front-office, high-impact role working directly with Portfolio Managers and Quant Researchers to design, implement, and scale the next generation of research and trading infrastructure. This opportunity is ideal for someone who loves hands-on development, quantitative research, and solving complex data challenges in a fast-paced, intellectually rigorous environment. Key Responsibilities Develop and optimise quantitative research frameworks , signal-generation pipelines, and analytics tools. Work closely with PMs and Quants to translate research ideas into production-grade models and code . Build and maintain high-performance C++ and Python components used for modelling, simulation, and live trading. Design scalable Linux-based data and compute architectures , including feature engineering and large dataset processing. Support the creation of robust backtesting environments , ensuring accuracy, reproducibility, and efficiency. Collaborate with investment teams to enhance portfolio construction, execution logic, and model robustness. Contribute to the broader technology and research roadmap, identifying opportunities for optimisation and innovation. Required Skills & Experience 25 years experience as a Quant Developer, Data Scientist, or Research Engineer within a trading, hedge-fund, or asset-management environment. Strong programming skills in: C++ (performance-critical research and execution components) Python (research, data processing, statistical modelling) Solid experience working in Linux environments, including scripting, debugging, and performance optimisation. Understanding of software architecture and experience contributing to scalable, modular research or trading systems. Strong quantitative background with a degree in a highly technical field (Computer Science, Mathematics, Physics, Engineering, Statistics, or related STEM discipline). Excellent problem-solving skills and the ability to work closely with front-office teams. Bonus / Preferred Skills Knowledge of Japanese equity or derivatives markets (microstructure, trading conventions, data nuances). Experience with time-series modelling, market-microstructure research, or alpha-signal development. Familiarity with cloud compute environments, distributed frameworks, or containerised research infrastructure. Experience with CI/CD, Git, workflow automation, and best-practice engineering processes. What Were Looking For Someone who is: Curious, analytical, and proactive. Excited by the challenge of building research and trading infrastructure from the ground up . Comfortable taking ownership, contributing ideas, and working directly with investment decision-makers. Motivated to work in a performance-driven, collaborative buy-side environment. TPBN1\_UKTJ

Job Description AI Engineer Location Erskine, Newcastle, Farnborough or London Candidates are required to be eligible for clearance DXC Technology (DXC: NYSE) is the worlds leading independent, end-to-end IT services company, helping clients harness the power of innovation to thrive on change. Created by the merger of CSC and the Enterprise Services business of Hewlett Packard Enterprise, DXC Technology serves nearly 6,000 private and public sector clients across 70 countries. The companys technology independence, global talent, and extensive partner network combine to deliver powerful next-generation IT services and solutions. DXC Technology is recognized among the best corporate citizens globally. Were looking for a talented and forward-thinkingAI Engineerto join our innovative team. This is a unique opportunity to work on cutting-edge AI technologies and contribute to transformative projects across multiple domains. In this role, youll help design and build modern data pipelines that bring together information from a variety of systemsmaking data accessible, trustworthy, and ready for intelligent analytics and AI solutions. You will collaborate closely with teammates across disciplines and have the opportunity to learn from experienced engineers and leaders. Key responsibilities include: Supporting and contributing to data engineering projects, helping ensure delivery within scope and timelines. Working alongside supportive team members to develop and maintain data pipelines and infrastructure. Partnering with cross-functional teams to understand data needs and shape solutions. Contributing to data quality, governance, and security initiatives. Learning directly from specialists in AI and data engineering. Helping to continuously improve and optimise data processes. Staying current with emerging tools, trends, and technologies. Contributing to a collaborative, inclusive, and growth-focused team culture. What youll bring A Bachelors degree in a relevant field or equivalent experience. Experience with modern data engineering tools and technologies. A growth mindset and passion for continuous learning. Understanding and hands-on experience with Transformer models and LLMs (e.g., GPT, LLaMA, Mistral, Claude). Skills in fine-tuning, prompt engineering, and building RAG pipelines. Familiarity with Agent Frameworks (LangChain, LlamaIndex, CrewAI, AutoGen). Knowledge of reinforcement learning methods or tools (Q-learning, policy gradients, RLlib). Why Join Us? Work on AI solutions that make a meaningful impact across industries. Be part of a supportive, collaborative, and forward-thinking team. Access mentoring, continuous learning, and career-development opportunities. Enjoy flexible working arrangements designed to support worklife balance. Join a company committed to inclusion, wellbeing, and empowering your success. TPBN1\_UKTJ

AI, Automation & Emerging Technology
UK Junior Mid Level 2+ Years Experience

About the Role

We re building a disciplined R&D capability to explore emerging technologies, validate new approaches, and feed high-quality innovation into our Product and Engineering teams.

As our AI Research Analyst (R&D), you ll generate the technical evidence that supports strategic decisions. You ll research AI and automation technologies, evaluate vendors and tools, build (basic) timeboxed proofs of concept in Python and/or C#, and produce clear, decision-ready outputs.

This is not a BAU delivery role.
It s structured, evidence-led innovation.

You ll report functionally to the Head of R&D, with day-to-day coaching from the Senior R&D Engineer (Who is an accomplished Software Engineer)

Salary: £40 - £50K Basic + Bonus + Benefits package

Location: North East office, but remote across the UK is totally fine.

What You ll Bring

Essential

• 2+ years in a technical analyst, research, or solutions-focused role
• Some Hands-on coding ability in Python and/or C# (You’ll learn software engineering from the senior R&D engineer, who’ll learn R&D from you!)
• Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations)
• Strong analytical thinking and structured evaluation skills
• Excellent written communication clear, concise, decision-ready outputs
• Self-directed working style with confident stakeholder engagement
• Familiarity with workflow orchestration / BPMN fundamentals

Desirable

• Experience building AI-integrated applications
• API and cloud platform exposure
• Vendor/technology selection experience
• Knowledge of process automation or orchestration platforms

Why Join

• Direct exposure to cutting-edge AI and automation
• Real influence over technology decisions
• Clear progression into Senior R&D or specialist AI roles
• Close collaboration with Architecture, Engineering, and Product

We re looking for curiosity and rigour in equal measure someone excited by emerging AI, but disciplined enough to separate signal from noise.

Apply now!

Location: London

About the Role

A leading global law firm is seeking a Research Analyst to join its London office. This is an excellent opportunity for someone who enjoys deep, investigative research, is curious about emerging technologies, and wants to support a world class team of lawyers on complex, high profile matters.

As part of the firms Research & Information Management (RIM) Department, you will provide high quality legal and business research across all practice areas, support business development initiatives, and contribute to the firms growing AI and innovation projects. This role offers exposure to international work, collaborating with colleagues across London, Brussels, Asia, the Middle East, and the US.

You will report to the London Research Manager and join a team committed to exceptional service, precision, and collaboration in a fast paced environment.

Key Responsibilities

In this role, you will:

• Conduct in depth legal and business research across all practice groups using tools such as Lexis+, Westlaw UK, Practical Law, Mergermarket, Perfect Information, and Bloomberg Law.
• Analyse findings and deliver clear, accurate research summaries within required timeframes.
• Support daily library operations including cataloguing, ordering materials, looseleaf filing, processing invoices, and liaising with suppliers.
• Fulfil document supply requests for cases, articles, and book extracts.
• Assist with training sessions and induction programmes for new joiners.
• Respond proactively to research enquiries with strong communication and attention to detail.
• Work with the London Research Manager to provide research coverage across UK, European, Asian, Middle Eastern, and US offices.
• Support ad hoc research tasks and departmental projects, including innovation and AI related initiatives.

About You

You’ll thrive in this role if you bring:

• Strong research and analytical skills with an interest in legal and business information.
• Familiarity with major legal research databases (experience in a law firm or academic library is an advantage).
• Excellent written and verbal communication.
• High attention to detail, accuracy, and strong organisational skills.
• A proactive, service oriented approach and ability to multitask in a fast paced environment.
• An interest in technology, innovation, and learning new research tools.

What’s on Offer

• The opportunity to work within a globally recognised legal environment on varied, complex matters.
• Exposure to international research work spanning multiple regions.
• A collaborative team committed to professional development and innovation.
• The chance to deepen your knowledge of legal research, business intelligence, and AI tools.

If you’re intellectually curious, highly organised, and excited about supporting top tier lawyers with world class research, we’d love to hear from you.Due to the high volume of applications, we are not able to respond to all enquiries. If you have not received a response within 72 hours, please assume you have not been shortlisted at this stage, however thank you for taking the time to apply.

Ryder Reid Legal is a recruitment specialist. For over thirty years we’ve been connecting legal talent with many of the leading law firms in London and internationally. Follow our LinkedIn page for the latest vacancies.

https://company/ryder-reid-legal

Senior Mapping Engineer (Large-Scale HD Mapping) - First Key Hire

Circa £80k+, London based

Want to work for an advanced start up building real-world autonomous systems? We’re looking for a highly skilled Senior Mapping Engineer to become the first dedicated mapping lead. This is a high-ownership role where you’ll take charge of the high-accuracy, large-scale mapping capability, set the technical roadmap, and grow and mentor a mapping team as deployments scale.

You’ll maintain and evolve an existing mapping codebase, enhancing accuracy, stability, and scalability across challenging industrial and autonomous environments. Working closely with perception, localization, and navigation, you’ll ensure themaps are drift-free, up-to-date, and deeply integrated into the autonomy stack-from raw sensor data to validated, deployed map products.

What you’ll do
* Own and advance scalable LiDAR- and vision-based mapping pipelines.
* Build and improve 2D/3D representations: occupancy grids, vector/HD maps, semantic layers, environment models.
* Lead multi-sensor fusion (LiDAR, cameras, radar, GNSS/INS, odometry) into coherent, consistent map outputs.
* Deliver large-scale capabilities like multi-session mapping, fleet workflows, map versioning, delta updates, and distributed map generation.
* Maintain tight integration with SLAM/Localization to ensure stable, drift-free deployment performance.
* Define KPIs and validation frameworks for map accuracy, completeness, and consistency.
* Translate state-of-the-art research (SLAM, semantic mapping, multi-modal reconstruction) into production systems.
* Set best practices and technical standards to support future team growth.

Experience required
* MSc/PhD in Robotics, Computer Vision, Computer Science, or related field.
* 4-5+ years hands-on mapping experience in autonomous systems or robotics.
* Deep expertise in LiDAR/point-cloud processing (PCL, Open3D, custom pipelines).
* Strong background in vision-based mapping / visual SLAM and multi-sensor fusion.
* Proficiency in C++ with strong experience in ROS2.
* Solid grounding in estimation, optimization, geometry, kinematics, and TF2.

Why join
You’ll own a mission-critical autonomy capability, shape the map product and technical direction, work on live deployments, and step into a clear path to build and lead your own mapping team.

£70,000 to 100,000 GBP
Bonus
Hybrid WORKING
Location: Central London, Greater London - United Kingdom Type: Permanent

Job Title: AI Security Engineer (GenAI Focus)
Location: London (Hybrid - 2 days per week onsite)
Salary: Flexible depending on experience + bonus

Job Overview
We are seeking an AI Security Engineer to design, implement, and maintain security solutions that protect complex systems and sensitive data, with a strong focus on GenAI and AI/ML platforms. This role works closely with data scientists, engineers, and security teams to ensure innovation is delivered securely and at scale.

This position is well suited to security professionals who want to transition into a GenAI-focused career path and develop deep expertise in securing AI/ML systems.

Key Responsibilities
Threat Analysis and Vulnerability Assessment

• Conduct regular threat modelling and vulnerability assessments across AI/ML systems, including data pipelines, model APIs, and GenAI services
• Develop tools, scripts, and benchmarks to automate AI/ML security testing
• Perform secure code reviews and penetration testing of AI-related software

Research and Development

• Research emerging threats, trends, and best practices in AI/ML security
• Deliver proof-of-concepts and proof-of-value initiatives to assess new technologies and controls
• Contribute to the development of advanced AI/ML security tools and techniques
• Produce high-quality technical documentation and user guidance

Security Engineering and Collaboration

• Provide subject matter expertise on security engineering patterns and controls
• Support secure software development practices aligned to OWASP and DevSecOps principles
• Collaborate with cross-functional engineering and security teams to align solutions with business and regulatory requirements
• Support audits, risk assessments, and control improvements across platforms

Required Technical Skills

• Strong programming and scripting skills in Python and Bash
• Strong knowledge of cloud technologies, specifically AWS and Azure
• Strong understanding of API development and API security
• Experience with threat modelling, penetration testing, and vulnerability assessments
• Familiarity with secure software development practices (OWASP, DevSecOps)
• Interest in or exposure to data science, AI, or ML systems

Required Soft Skills

• Strong analytical, research, and problem-solving skills
• Excellent written and verbal communication skills
• Ability to work effectively in cross-functional teams
• Comfortable advising stakeholders and contributing to security strategy and decision-making

Reference: AMC-AQU-AISEBBL

Postcode: EC2V 6AA

#adqu

£150,000 GBP

• performance bonus + internal fund investment
  Onsite WORKING
  Location: Central London, Greater London - United Kingdom Type: Permanent

My client is a stealth start-up Quant hedge fund founded by a Math Postdoc and advised by a Fields Medallist. They are aiming to launch next year and are currently hiring in Miami, London and Milan.

Description

– Role: expected to contribute to production grade proprietary trading systems, deploy state of the art AI/ML, develop novel AI/ML models, experiment with and develop novel trading ideas, explore new datasets.

– Required: experience training ML models end to end (from data processing to fine tuning), experience training across transformers / generative models / RL, publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions / industry experiences.

– Positives but not requirement: PhD.

Reference: AMC/AHU/NW/SPH001

#alhu

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

Forward Deployed Engineer Generative AI / LLM Deployment
GenAI LangChain RAG AWS Kubernetes Customer-Facing

We are hiring a Forward Deployed Engineer to lead the deployment of production-grade Generative AI and LLM solutions into enterprise environments.

This is a hands-on, customer-facing role focused on building and deploying RAG pipelines, multi-agent systems and fine-tuned LLM applications using tools such as LangChain and LangGraph. You will embed with client teams, own technical delivery from prototype to production, and demonstrate measurable KPI impact.

Key Responsibilities

• Design and deploy GenAI / LLM applications (RAG, agentic AI, fine-tuning)
• Lead production deployment on AWS, Azure or GCP
• Build scalable backend systems in Python (JavaScript a plus)
• Manage infrastructure using Kubernetes, Docker, Terraform
• Own end-to-end technical delivery across multiple client deployments
• Conduct debugging, optimisation and root cause analysis
• Communicate complex AI concepts to technical and non-technical stakeholders

Requirements

• Strong experience building and deploying LLM / Generative AI solutions
• Hands-on with LangChain, RAG, multi-agent systems
• Cloud ML deployment experience (AWS, Azure or GCP)
• DevOps tooling: Kubernetes, CI/CD, GitHub, GitOps
• Customer-facing technical delivery experience
• Background in Machine Learning, Data Science or AI Engineering

This role suits a Senior Machine Learning Engineer, Applied AI Engineer, AI Solutions Engineer or LLM Engineer who enjoys client impact, rapid prototyping and owning delivery in fast-moving environments.

Apply now to work at the forefront of enterprise AI deployment and agentic systems.

About the Job:

We are seeking multiple AI Engineers to join a start-up focused on revolutionising AI Automation for businesses. They’re building systems that learn how a business runs and works out what can be automated to save time and money. You’ll work directly with clients to build a system that works for them, analysing historical process data from ticket and communications systems.

You Need:

• You need demonstrable experience of deploying AI Agents.
• You need strong Python skills with a grounding in AI or ML.
• You must have built AI systems in production.
• You must have used AI within complex systems.

Bonus Skills:

• Continuous learning/ continuous system improvement experience is a plus.
• Multi-agent experience is a plus.

Benefits:

• The chance to work on cutting-edge AI tech and develop your skills on a project that makes an impact.
• Extremely competitive salary.
• The option for equity allows your involvement to be more direct and meaningful.
• Central London office with great transport links.

We are a Certified B-Corp and our practices ensure that diversity, equality and inclusion carry across to those that we hire for.

Apply now to be part of the creation of a revolutionary tool to help businesses globally.

Data Scientist (NLP & LLM Specialist)Remote- UK6-month contract with Potential ExtensionDay rate - 427.68 - 565 per day Inside IR35

Data Scientist (NLP & LLM Specialist)

Are you an expert in Natural Language Processing who thrives on building scalable, real-world AI solutions? We are seeking a hands-on Data Scientist to join a premier global credit ratings and financial information firm. You will be a key player in launching a brand-new, from-scratch analytics platform designed for elite institutional clients including corporate banks and asset managers.

The Opportunity

In this role, you will go beyond conventional boundaries to design, build, and deploy quantitative models that power advanced insights. You will collaborate with a cross-domain team of economists, political scientists, and developers to transform proprietary risk data into actionable strategic assets.

Your Impact

• Model Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes.
• Pipeline Development: Develop and maintain robust ML and data pipelines for experimentation and deployment.
• Insight Extraction: Prototype and test new approaches for extracting insights from structured and unstructured data.
• Technical Translation: Explain ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions.

Your Experience

• Experience Level: 5-7+ years (More experience is welcomed).
• Core Technicals: High expertise in Python and Machine Learning (ML).
• NLP Expertise: 3-5 years of experience in Natural Language Processing.
• AI Knowledge: Familiarity with LangChain and LlamaIndex. The role involves using Large Language Models (LLMs) to build data models rather than building LLMs from scratch.
• Deployment: Must understand the deployment process and CI/CD practices to troubleshoot, though a dedicated engineering team handles the heavy lifting.
• Industry Knowledge: Experience with Risk Modeling or financial services is preferred.

This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. Co. uk

Randstad Technologies is acting as an Employment Business in relation to this vacancy.