Machine learning engineer Work, Jobs in St Albans, Hrt (with Salaries)

Applied AI Engineer
Castleton Commodities International —London
- Full-time
- Azure
- Computer Science
- Master's degree
- Annual leave
- Employee discount
Research Engineer, Machine Learning (RL Velocity)
Anthropic —London
- £370,000 - £630,000 a year
- Hybrid work
- Bachelor's degree
- Machine learning
- Communication skills
- Flexible schedule
Machine Learning Platform Engineer
Monzo —London
- £85,000 - £110,000 a year
- Part-time
- Remote
- DevOps
- AWS
- Machine learning
- Flexible schedule
Graduate Machine Learning Researcher - Chicago
IMC Financial Markets —London
- £300,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Machine learning
- Annual leave
LINUX LAMP Stack Systems Administrator
Eckoh —Hemel Hempstead
- £320 - £360 a day
- Hybrid work
- Scripting
- Linux
- In-person
- Free parking
Quick apply
Senior Machine Learning Engineer (Recommendation)
Sky —London
- Full-time
- Hybrid work
- System design
- Analysis skills
- Machine learning
Math, Physics & Engineering Graduates
Prima —London
- £80,000 - £160,000 a year
- Hybrid work
- English
- Analysis skills
- Maths
- Work from home
Quick apply
AI and Machine Learning Engineer (2 Year Fixed Term Contract)
Mitsubishi Power EMEA —London
- Full-time
- Computer Science
- CAD
- Engineering
Quick apply
14d
Machine Learning Engineer
kingfisher —London
- Full-time
- Hybrid work
- SQL
- Machine learning
- Python
Machine Learning DSP Engineer
Marshall Group —Milton Keynes
- Hybrid work
- C++
- Machine learning
- AI
Staff Machine Learning Infrastructure Engineer, Simulation
Waymo —London
- £155,000 - £163,000 a year
- Full-time
- Computer Science
- Bachelor's degree
- Machine learning
Data Engineer
Redhorse International —London
- £51,355.35 - £106,846.96 a year
- Full-time
- SQL
- In-person
- AI
- Store discount
- Flexitime
Quick apply
Senior Machine Learning Engineer - AI Enablement
Roche —Welwyn
- Doctoral degree
- Computer Science
- Master's degree
Anthropic Fellows Program
Anthropic —London
- £2,310 - £4,300 a week
- Part-time
- Remote
- Master's degree
- Maths
- Bachelor's degree
- Flexible schedule
Machine Learning Specialist – Systematic Trading
Durlston Partners —London
- Up to £300,000 a year
- Doctoral degree
- Computer Science
- Data analysis skills
Machine Learning Scientist
Nucs AI —London
- Full-time
- Hybrid work
- Doctoral degree
- Engineering
- Machine learning
Quick apply
Full-Stack Software Engineer (C#/.NET & Angular)
Spreadex Careers —St Albans
- Hybrid work
- Azure
- Oracle
- AWS
Azure Data / Dev Ops Engineer
Assura Protect —London
- £60,000.00 - £95,669.20 a year
- Full-time
- Azure
- Oracle
- DevOps
- Health & wellbeing programme
- Employee stock ownership plan
Quick apply
Machine Learning Engineer - Intelligence Group
Smartnumbers —London
- £55,000 a year
- Hybrid work
- DevOps
- Data analysis skills
- SQL
- Annual leave
- Employee assistance programme
Quick apply
Multimedia Designer / Junior Multimedia Designer *(Temp to perm)
BTCC - UK —London
- £2,200 a month
- Full-time
- English
- Microsoft Office
- Business development
- Referral programme
Quick apply

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Applied AI Engineer

Castleton Commodities International -
London

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Job details

Full-time

Benefits

Annual leave
Employee discount
Life insurance

Qualifications

Azure
Law
Computer Science
MCP
NumPy
Business analysis
Logistics
Git
Master's degree
SQL
AWS
Bachelor's degree
GitHub
APIs
AI
Communication skills
Python

Full job description

We are seeking a talented and detail-oriented Applied AI Engineer to join our Global Data Science team and help internal technology and commercial teams adopt CCI’s approved AI tooling effectively. The ideal candidate will combine technical fluency, strong communication skills, and practical experience using AI to improve real business workflows.

This role will focus on context engineering, AI tooling configuration, assistant and knowledge-base setup, workflow discovery, evaluation, documentation, and stakeholder enablement. The analyst will work hands-on with CCI’s GenAI platform and approved enterprise AI tools to translate business needs into reliable, governed, and reusable AI-enabled solutions.

Responsibilities

Partner with traders, analysts, operators, technologists, and business stakeholders to identify workflows where AI can reduce manual effort, improve quality, or accelerate analysis.
Configure and support approved AI tools and platform capabilities, including GenAI projects, agents, skills, knowledge bases, SQL resources, model presets, and MCP-enabled tools.
Design and maintain high-quality AI context, including system instructions, prompt templates, examples, reference materials, retrieval sources, workflow guardrails, and output formats.
Support RAG and document-intelligence workflows, including document ingestion, chunking, metadata design, retrieval quality, structured extraction, and validation with subject-matter experts.
Evaluate AI outputs for accuracy, groundedness, completeness, formatting, usability, and business value; use feedback and test cases to improve configurations over time.
Create reusable playbooks, templates, demos, and reference materials that help technology and commercial teams use AI safely and effectively.
Communicate AI capabilities, limitations, risks, and recommended usage patterns clearly to both technical and non-technical stakeholders.
Stay current on practical advancements in applied AI, context engineering, enterprise copilots, agentic workflows, RAG, and AI evaluation methods.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Information Systems, Business Analytics, Economics, Mathematics, or a related technical or quantitative field.
2+ years of experience in data analytics, business analysis, technology enablement, AI implementation, automation, systems configuration, or a related role.
Strong practical experience using generative AI tools to improve analysis, documentation, coding, research, workflow automation, or business productivity.
Working knowledge of LLM concepts, including prompting, context windows, retrieval, hallucination risk, structured outputs, model selection, and evaluation tradeoffs.
Familiarity with applied AI patterns such as RAG, embeddings, vector search, document extraction, tool calling, agentic workflows, and human-in-the-loop review.
Strong programming and data skills, including Python, SQL, and tools/libraries used in agentic development like langgraph, langchain, Pydantic models, NumPy, FastAPI/MCP, etc.
Ability to work with APIs, JSON, MCPs, Git or version-controlled artifacts, and lightweight automation or prototyping workflows.
Excellent written and verbal communication skills, with the ability to translate business needs into technical requirements and explain AI concepts in plain language.
Strong problem-solving skills, curiosity, attention to detail, and ability to work independently while collaborating across commercial, technology, and control functions.
Understanding of responsible AI and Software practices, including data sensitivity, access control, auditability, and appropriate escalation of higher-risk use cases.
Proven ability to work effectively in a fast-paced, dynamic, and high-intensity environment with timely responsiveness and flexibility to work beyond normal business hours when required.

Prefered Qualifications

Prior experience in commodities, energy, trading, logistics, asset operations, market analytics, or commercial decision-support workflows.
Hands-on familiarity with enterprise AI tools such as Claude, ChatGPT/OpenAI, Gemini, Microsoft 365 Copilot, Cursor, or GitHub Copilot.
Exposure to Snowflake, vector databases, knowledge-base configuration, and cloud platforms such as AWS or Azure.
Portfolio examples showing practical AI use: an agent, workflow automation, prompt/context library, RAG prototype, document extraction workflow, evaluation framework, or AI-enabled business process improvement.

Employee Programs & Benefits:

CCI offers competitive benefits and programs to support our employees, their families and local communities. These include:

Competitive comprehensive medical, dental, retirement and life insurance benefits
Employee assistance & wellness programs
Parental and family leave policies
CCI in the Community: Each office has a Charity Committee and as a part of this program employees are allocated 2 days annually to volunteer at the selected charities.
Charitable contribution match program
Tuition assistance & reimbursement
Quarterly Innovation & Collaboration Awards
Employee discount program, including access to fitness facilities
Competitive paid time off
Continued learning opportunities

Visit https://www.cci.com/careers/life-at-cci/# to learn more!

#LI-CD1

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Refine Your Search

machine learning engineer jobs in st albans, hrt

Applied AI Engineer

Research Engineer, Machine Learning (RL Velocity)

Machine Learning Platform Engineer

Graduate Machine Learning Researcher - Chicago

LINUX LAMP Stack Systems Administrator

Senior Machine Learning Engineer (Recommendation)

Math, Physics & Engineering Graduates

AI and Machine Learning Engineer (2 Year Fixed Term Contract)

Machine Learning Engineer

Machine Learning DSP Engineer

Staff Machine Learning Infrastructure Engineer, Simulation

Data Engineer

Senior Machine Learning Engineer - AI Enablement

Anthropic Fellows Program

Machine Learning Specialist – Systematic Trading

Machine Learning Scientist

Full-Stack Software Engineer (C#/.NET & Angular)

Azure Data / Dev Ops Engineer

Machine Learning Engineer - Intelligence Group

Multimedia Designer / Junior Multimedia Designer *(Temp to perm)

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