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Jobs in Stevenage, United Kingdom
Machine Learning Engineer
iConsultera
Greater London
Remote
GBP 70,000 - 90,000
Today
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Remote Technical Project Manager: Pharma Tech Transfers
MRP-Global
Bury
Remote
GBP 100,000 - 125,000
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Senior Biostatistician
Everest Clinical Research Services Inc
Croxley Green
Remote
GBP 50,000 - 70,000
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Remote Product Tester — Flexible 15-25 hrs/week, Weekly Pay
OCPA
Rotherham
Remote
GBP 60,000 - 80,000
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Discover more opportunities than anywhere else. Find more jobs nowRemote M&A Programme Facilitator (Contractor)
Emeritus
Nottingham
Remote
GBP 60,000 - 80,000
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Remote Talent Acquisition Specialist
Cielo
Haywards Heath
Remote
GBP 40,000 - 55,000
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Connect with headhunters to apply for similar jobsEducation Finance Advisor | Remote + Travel
KHR - Recruitment Specialists
England
Remote
GBP 35,000
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Climate Tech Backend Engineer - Remote-First, Equity
Eden Smith Group
England
Remote
GBP 80,000 - 100,000
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Remote People & Culture Partner - 4-Day Week, FTC
D2MS
Glasgow
Remote
GBP 44,000 - 54,000
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Remote IT Manager: Operations & Vendor Lead
Nigel Wright Recruitment
Glasgow
Remote
GBP 50,000 - 60,000
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Remote Mental Health Support Practitioner
Vita Health Group
United Kingdom
Remote
GBP 24,000 - 32,000
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Remote Service Designer for Healthcare & NHS Projects
WRK Digital
Leeds
Remote
GBP 80,000 - 100,000
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Remote Penetration Tester & Security Consultant
Pen Test Partners
Leeds
Remote
GBP 100,000 - 125,000
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Programme Facilitator in Mergers & Acquisitions for Imperial Business School.
Emeritus
Nottingham
Remote
GBP 60,000 - 80,000
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Remote UK ML Engineer: Build Production-Ready AI Solutions
iConsultera
Greater London
Remote
GBP 70,000 - 90,000
Today
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Remote Foreign Exchange Trader Job in Dorest, UK | Part Time
Maverick Trading
England
Remote
GBP 10,000 - 40,000
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Senior Data Engineer — Remote UK, Scalable Data Pipelines
KDR Talent Solutions
Birmingham
Remote
GBP 70,000 - 80,000
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Remote - Test Products - $25-$45 per hour
OCPA
Rotherham
Remote
GBP 60,000 - 80,000
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Senior Product Owner - Fintech Platform (Remote UK)
Leo Recruitment Limited
Nottingham
Remote
GBP 90,000 - 100,000
Today
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Remote SOC Analyst (UK-Based, SC Clearance Eligible)
Dynamic Search Solutions
Glasgow
Remote
GBP 30,000 - 40,000
Today
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Machine Learning Engineer
iConsultera
Remote
GBP 70,000 - 90,000
Full time
Today
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Job summary
A leading tech consultancy is seeking a highly skilled Machine Learning Engineer to design, build, and optimize ML models driving data-driven solutions. The ideal candidate will have over three years of experience in Machine Learning, strong Python experience, and be proficient with ML frameworks like TensorFlow and PyTorch. This role focuses on production-ready ML systems, data engineering, and collaboration with cross-functional teams in a fully remote setup within the UK.
Qualifications
- 3+ years of experience in Machine Learning or Data Science.
- Strong programming skills in Python with ML frameworks.
- Experience deploying ML models in production environments.
Responsibilities
- Design, develop, train, and evaluate machine learning models.
- Deploy ML models into production using scalable architectures.
- Collaborate with data engineers for data ingestion and transformation.
Skills
Machine Learning
Python
Data Engineering
SQL
TensorFlow
PyTorch
Docker
Kubernetes
Tools
MLflow
Azure ML
SageMaker
Vertex AI
Spark
Job description
Position Overview
- We are seeking a highly skilled Machine Learning Engineer to design, build, deploy, and optimise machine learning models that power data-driven products and business solutions.
- This role bridges data science and software engineering, focusing on production-ready ML systems, scalability, and performance.
- The ideal candidate has strong experience in Python, ML frameworks, data pipelines, and cloud platforms, and is comfortable working in a fully remote, collaborative environment within the UK.
Key Responsibilities
1. Machine Learning Model Development
- Design, develop, train, and evaluate machine learning models for prediction, classification, recommendation, or automation use cases.
- Apply supervised, unsupervised, and deep learning techniques as appropriate.
- Perform feature engineering, model tuning, and validation to improve accuracy and performance.
2. Productionisation & Deployment
- Deploy ML models into production using scalable, reliable architectures.
- Build and maintain APIs or batch pipelines for model inference.
- Monitor model performance, data drift, and retraining needs.
3. Data Engineering & Pipelines
- Collaborate with data engineers to design efficient data ingestion and transformation pipelines.
- Work with structured and unstructured data from databases, APIs, and data lakes.
- Ensure data quality, reproducibility, and versioning.
4. MLOps & Automation
- Implement MLOps practices including CI / CD for ML, model versioning, and experiment tracking.
- Use tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
- Automate model training, testing, deployment, and monitoring workflows.
5. Cloud & Infrastructure
- Build ML solutions on cloud platforms such as AWS, Azure, or GCP.
- Use containerization and orchestration tools (Docker, Kubernetes).
- Optimize compute costs and performance for training and inference workloads.
6. Collaboration & Stakeholder Engagement
- Work closely with Data Scientists, Product Managers, Software Engineers, and Analysts.
- Translate business requirements into scalable ML solutions.
- Communicate model behaviour, limitations, and results clearly to non-technical stakeholders.
7. Research & Continuous Improvement
- Stay current with advancements in machine learning, AI, and data science.
- Evaluate new algorithms, tools, and frameworks for potential adoption.
- Contribute to best practices, documentation, and knowledge sharing.
Required Skills & Experience
Core Technical Skills
- 3+ years of experience in Machine Learning, Data Science, or related roles.
- Strong programming skills in Python.
- Experience with ML frameworks : TensorFlow, PyTorch, scikit-learn, XGBoost.
- Solid understanding of ML algorithms, statistics, and evaluation metrics.
- Experience deploying ML models into production environments.
Data & Engineering Skills
- Strong SQL skills and experience working with large datasets.
- Familiarity with data processing tools (Pandas, NumPy, Spark).
- Experience building APIs (FastAPI, Flask) for ML services.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.