Machine Learning Engineer (Python / MLE )

6 Month Contract

£650 - £750

Remote

Umbrella

Urgent Start

We are looking for a number of MLE / Machine Learning Engineers for a critical 6 month contract with a household name. This role is essential for maintaining the stability and performance of their core data and Machine Learning systems.

If your background is diving into complex production codebases and possess excellent problem solving skills, this is the perfect opportunity. We need candidates ready to start by Mid to late November.

This is a deeply technical engineering role focused less on new feature development and more on reliability and fixes.

Key Skills:

Investigating and debugging complex data flow and Machine Learning issues within a live, high impact production environment.

Extensive Python, NumPy and Pandas is required for this role.

You must demonstrate a deep commercial background in the following areas:

Extensive Python: Very strong, production-level Python coding and debugging skills.

Production Environment: Proven experience working directly with and troubleshooting issues in live production codebases (not just isolated development).

Cloud Experience: Solid experience with any major public cloud provider (GCP, AWS, or Azure).

Experience with BigQuery would be good.

Machine Learning: Experience supporting and understanding ML pipelines and models in a production setting.

Direct experience with Google Cloud Platform, BigQuery, and associated tooling.

Experience with workflow tools like Airflow or Kubeflow.

Familiarity with dbt (Data Build Tool).

Please send your CV for more information on these roles.

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

Our Hedge Fund client is looking for a Python Developer/Engineer Contract role

This team is responsible for the firms equity transaction data platform, including trade life cycle event processing, enrichment, and PnL calculations. The role is ideal for an engineer who enjoys building robust, high-throughput services and data pipelines in a fast-paced, delivery-focused environment.

Principal Responsibilities
Design and develop solutions for trade life cycle event processing, including corporate actions, expiries, and other post-trade events.
Build and operate Python-based services that perform large-scale data transformations and calculations.
Publish and distribute transaction and PnL data using Kafka, including AVRO-based schemas and streaming patterns.

Required Skills
Minimum of 6+ years of professional Python development experience, ideally in capital markets or a fintech firm.
Experience in finance: understanding of common financial asset classes; knowledge of equities corporate action processing, trade life cycle concepts, and/or P&L calculations is a strong plus.
Experience with Kafka (or equivalent streaming/messaging platforms) and schema-based event publishing (eg, AVRO).
Strong experience performing large-scale data calculations in Python using libraries like pandas, polars, and NumPy.
Experience building REST services using frameworks such as FastAPI and/or Flask.
Strong SQL skills and experience working with relational databases in production environments.
Hands-on experience with containerized deployments and modern infrastructure tooling (Docker, Kubernetes) and familiarity with cloud platforms.
Understanding of modern SDLC practices (testing strategy, CI/CD, release management, observability, and operational ownership).

Office based, 5 days per week.
Based in London.

Contract role inside IR35

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My client is a fast-growing UK FinTech business serving thousands of customers. They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment.

This is a hands-on leadership role combining technical ownership, team development, and production-grade model deployment.

The Role

As Lead Data Scientist, you will:

Lead and develop a growing Data Science team, setting standards and delivery cadence

Own end-to-end ML solutions - from problem framing and feature engineering to deployment, monitoring, and governance

Translate business objectives into modelling strategies aligned to risk appetite and operational constraints

Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent)

Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions

Establish monitoring frameworks for performance, drift, and retraining

Drive clear documentation, traceability, and governance appropriate for a regulated environment

This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance.

Essential Experience

Proven commercial ML/Data Science delivery with measurable impact

Experience taking models into production and managing performance over time

Prior experience leading or mentoring Data Scientists

Strong Python (pandas, numpy, scikit-learn or similar)

Strong SQL (complex joins, aggregations, analytical functions)

Solid grounding in applied statistics, evaluation design, calibration, bias/fairness

Experience working closely with Engineering/Data teams in production-first environments

Comfortable operating within regulated industries

Desirable

AWS experience (S3, Athena/Glue, IAM, Lambda)

SageMaker or equivalent ML platform experience

Financial services domain knowledge (risk, fraud, affordability, payments)

Experience with model explainability and governance documentation

Package & Benefits

Hybrid working model

Competitive pension

Additional paid leave (birthday, charity, wellbeing, life events)

Employee assistance programme & Virtual GP

Modern collaborative office environment

Interested? Please Click Apply Now!

Lead Data Scientist

Certain Advantage are recruiting on behalf of our Trading client for an AI Engineer on a contract basis for 6-12 months initially in London. This will require some onsite days in Central London during the week. We are seeking Engineers skilled in python with a strong focus on GenAI AI and LLMs to lead the integration of cutting-edge language technologies into real-world applications. If you’re someone passionate about building scalable, responsible, and high-impact GenAI solutions then this could be for you! We’re looking for Engineers offering competent core technical skills in Python Programming, Data Handling with NumPy, Pandas, SQL, and use of Git/GitHub for version control. Any experience with these GenAI Use Cases would be relevant and desirable; Chatbots, copilots, document summarisation, Q&A, content generation. To help make your application as relevant as possible, please ensure your CV demonstrates any prior experience you have relating to the below; System Integration & Deployment Model Deployment: Flask, FastAPI, MLflow Model Serving: Triton Inference Server, Hugging Face Inference Endpoints API Integration: OpenAI, Anthropic, Cohere, Mistral APIs LLM Frameworks: LangChain, LlamaIndex – for building LLM-powered applications Vector Databases: FAISS, Weaviate, Pinecone, Qdrant (Nice-to-Have) Retrieval-Augmented Generation (RAG): Experience building hybrid systems combining LLMs with enterprise dataMLOps & Infrastructure MLOps: Model versioning, monitoring, logging Bias Detection & Mitigation Content Filtering & Moderation Explainability & Transparency LLM Safety & Guardrails: Hallucination mitigation, prompt validation, safety layers Azure Cloud Experience Collaboration & Delivery Cross-functional Collaboration: Working with software engineers, DevOps, and product teams Rapid Prototyping: Building and deploying MVPs Understanding of ML & LLM Techniques: To support integration, scaling, and responsible deployment Prompt Engineering: Designing and optimising prompts for LLMs across use cases Model Evaluation & Monitoring Evaluation Metrics: Perplexity, relevance, response quality, user satisfaction Monitoring in Production: Drift detection, performance degradation, logging outputs Evaluation Pipelines: Automating metric tracking via MLflow or custom dashboards A/B Testing: Experience evaluating GenAI features in production environments Does this sound like your next career move? Apply today! Working with Certain Advantage We go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it. We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering. If this job isn’t for you, head to (url removed) and register for job alerts and career guidance tips

Azure Data Engineer | Outside IR35 | £400 - £450 | 6 months | Hybrid Liverpool You’ll be designing, developing, and managing data pipelines across Azure, primarily using Azure Data Factory to integrate multiple data sources and deliver streamlined workflows into Azure SQL. A strong grasp of Python will be essential as you'll be transforming, cleansing, and validating complex datasets to ensure they’re accurate, efficient, and ready for analytics and product teams to leverage. This position plays a key role in supporting ongoing modernisation efforts by strengthening the way data is collected, processed, and made available across the business. Responsibilities Build, maintain, and improve scalable ETL/ELT pipelines using Azure Data Factory Model, manage, and optimise datasets within Azure SQL Use Python and Pandas for data preparation, transformation, and quality checks Work closely with engineering, product, and analytics teams to understand data requirements and deliver robust solutions Maintain high standards around data integrity, reliability, and performance Contribute to modernising data tools, workflows, and overall data infrastructureWhat We’re Looking For Strong hands-on experience with Azure Data Factory and cloud-based data orchestration Solid Azure SQL knowledge, including schema design and performance tuning Proficiency in Python, with practical experience using Pandas for data manipulation Comfortable delivering in environments where onboarding is minimal and pace is high Background working with product-led or digitally focused teams is beneficial Able to start immediatelyIf this is a role that suits your skillset, can work onsite 2 days per week and immediately available then please apply for the job advert directly or reach out to myself at (url removed). Azure Data Engineer | Outside IR35 | £400 - £450 | 6 months | Hybrid Liverpool

My client is a fast-growing UK FinTech business serving thousands of customers. They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment.

This is a hands-on leadership role combining technical ownership, team development, and production-grade model deployment.

The Role

As Lead Data Scientist, you will:

• Lead and develop a growing Data Science team, setting standards and delivery cadence
• Own end-to-end ML solutions - from problem framing and feature engineering to deployment, monitoring, and governance
• Translate business objectives into modelling strategies aligned to risk appetite and operational constraints
• Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent)
• Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions
• Establish monitoring frameworks for performance, drift, and retraining
• Drive clear documentation, traceability, and governance appropriate for a regulated environment

This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance.

Essential Experience

• Proven commercial ML/Data Science delivery with measurable impact
• Experience taking models into production and managing performance over time
• Prior experience leading or mentoring Data Scientists
• Strong Python (pandas, numpy, scikit-learn or similar)
• Strong SQL (complex joins, aggregations, analytical functions)
• Solid grounding in applied statistics, evaluation design, calibration, bias/fairness
• Experience working closely with Engineering/Data teams in production-first environments
• Comfortable operating within regulated industries

Desirable

• AWS experience (S3, Athena/Glue, IAM, Lambda)
• SageMaker or equivalent ML platform experience
• Financial services domain knowledge (risk, fraud, affordability, payments)
• Experience with model explainability and governance documentation

Package & Benefits

• Hybrid working model
• Competitive pension
• Additional paid leave (birthday, charity, wellbeing, life events)
• Employee assistance programme & Virtual GP
• Modern collaborative office environment

Interested? Please Click Apply Now! Lead Data Scientist

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

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