Machine Learning Engineer Jobs in London with Visa Support

Job Title: Machine Learning Engineer Jobs in London with Visa Support
Hiring Organization: Leading UK Employers (Tech Startups, Fintech Firms, AI Research Labs)
Location: London, United Kingdom
Employment Type: Full-Time/Permanent or Contract
Salary: £50,000 – £120,000+ per annum (dependent on experience and sector)
Visa Sponsorship: Yes (Skilled Worker Visa)

Why London? Innovate at the Heart of AI Excellence

London, Europe’s #1 tech hub and home to 3,000+ AI startups, is leading the global charge in machine learning innovation. From DeepMind’s breakthroughs in neural networks to fintech giants revolutionizing fraud detection, the city offers unparalleled opportunities for international ML engineers. With £3.4 billion invested in UK AI in 2023 (Tech Nation), employers are actively recruiting global talent—offering Skilled Worker Visa sponsorship, relocation packages, and a chance to work on projects shaping industries like healthcare, finance, and autonomous systems.

For non-UK applicants, this is your gateway to joining a community where 40% of tech roles are filled by international professionals. Whether you’re optimizing recommendation engines for e-commerce giants or building predictive models for climate tech, London’s thriving ecosystem rewards creativity and technical mastery.

Machine Learning Engineers

Our partner employers—including unicorn startups, tier-1 banks, and AI research labs—are hiring ML engineers to design, deploy, and scale cutting-edge models. These roles are ideal for international applicants with expertise in Python, TensorFlow/PyTorch, and cloud platforms. Visa sponsorship, competitive salaries, and mentorship from industry pioneers ensure you excel in London’s fast-paced tech landscape.

Key Responsibilities

Algorithm Development:

• Design and train ML models (NLP, computer vision, reinforcement learning) using frameworks like PyTorch, Keras, or Hugging Face.
• Optimize hyperparameters and implement techniques like transfer learning or federated learning.

Data Pipeline Engineering:

• Preprocess large datasets (SQL, Spark) and build ETL pipelines for structured/unstructured data.
• Address challenges like class imbalance or missing data through creative feature engineering.

Model Deployment:

• Containerize models using Docker and deploy them on cloud platforms (AWS SageMaker, Google Vertex AI).
• Monitor performance with tools like MLflow or Weights & Biases, ensuring scalability and low latency.

Cross-Functional Collaboration:

• Partner with data scientists, product managers, and DevOps teams to integrate ML solutions into production.
• Explain model outcomes to non-technical stakeholders using visualization tools (Tableau, Streamlit).

Research & Ethics:

• Stay ahead of AI trends (e.g., generative AI, transformer architectures) through papers and conferences.
• Advocate for ethical AI practices, including bias mitigation and GDPR-compliant data usage.

Requirements

Education:

• Bachelor’s/Master’s/PhD in Computer Science, Data Science, or related field.
• Specialization in machine learning, AI, or statistical modeling.

Technical Skills:

• Proficiency in Python and libraries (NumPy, Pandas, Scikit-learn).
• Experience with deep learning frameworks (TensorFlow, PyTorch) and cloud platforms (AWS, Azure).
• Strong grasp of algorithms (SVMs, CNNs, GANs) and math (linear algebra, calculus).

Experience:

• 2+ years in ML engineering, data science, or related roles (open to exceptional graduates).

Visa Eligibility:

• Qualify for a Skilled Worker Visa (employers provide Certificate of Sponsorship).

Language Proficiency:

• IELTS: 6.5 overall (minimum 6.0 in all bands) or TOEFL iBT: 90.

Desirable Skills

• Published research in ML/AI conferences (NeurIPS, ICML) or journals.
• Certifications: AWS Certified ML Specialist, Google Professional ML Engineer.
• Experience with MLOps tools (Kubeflow, TFX) or big data technologies (Hadoop, Kafka).

What We Offer

1. Visa & Relocation Support

• Skilled Worker Visa: Full coverage of application fees (£1,423) and Immigration Health Surcharge (£624/year).
• Relocation Package: Up to £7,000 for flights, temporary housing, and settling-in costs.

Salary:

• Junior ML Engineers: £50,000 – £70,000
• Mid-Level: £71,000 – £95,000
• Senior/Lead Roles: £96,000 – £120,000+

2. Professional Growth

• Learning Budget: Annual £2,000–£5,000 for courses (Coursera, Udacity) or conferences (NeurIPS, PyData).
• Career Pathways: Advance to roles like AI Architect, Head of ML, or CTO.
• Mentorship: Guidance from leaders at firms like DeepMind or BenevolentAI.

3. Work-Life Balance

• Flexible Hours: Core hours (10 AM–4 PM) with remote work options (2–3 days/week).
• Holiday Allowance: 25–30 days + 8 public holidays.
• Wellbeing Perks: Free Headspace subscriptions, gym memberships, and mental health days.

4. Inclusive Culture

• Diversity Networks: Join groups like Women in ML or Black in AI.
• Tech Meetups: Attend London AI Meetups, PyLadies, or TensorFlow User Groups.
• Social Events: Hackathons, team offsites, and networking with London’s AI elite.

About Our Partner Employers

Our collaborators include:

• AI Startups: Building generative AI tools for creative industries in Shoreditch.
• Fintech Giants: Developing fraud detection algorithms for banks in Canary Wharf.
• Healthcare Innovators: Creating diagnostic models for NHS trusts.
• Autonomous Tech Firms: Engineering self-driving systems for automotive leaders.

FAQs for International Applicants

Q: How competitive are ML roles in London?
A: High demand! 35,000+ ML jobs posted in 2023, with 60% offering visa sponsorship (Adzuna).

Q: Is a PhD required for senior roles?
A: Not necessarily—hands-on experience with scalable systems often outweighs academic credentials.

Q: Can I work remotely full-time?
A: Most roles require 2–3 days/week onsite in London. Fully remote options are rare but growing.

Q: What’s the cost of living in London?
A: Average monthly expenses: £1,500–£2,500 (rent, transport, groceries). Salaries are adjusted accordingly.

Q: Are bootcamp graduates considered?
A: Yes! Employers value portfolios and Kaggle competition rankings over traditional degrees.

Contact for Support:
London Tech Talent Collective
Email: mlvisa@londontech.io
Phone: +44 (0)20 7946 0800 (Mon–Fri, 9 AM–5 PM GMT)