Opus Recruitment Solutions
AI/ ML Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer in Financial Services, offering a 12-month contract at up to £650/day, based in Birmingham (5 days on-site). Key skills include AI/ML pipeline development, Python, AWS/Azure expertise, and financial services experience.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
December 20, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Outside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
Birmingham
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🧠 - Skills detailed
#Deployment #Azure #Data Engineering #ML (Machine Learning) #Compliance #NLP (Natural Language Processing) #PyTorch #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Scala #Azure cloud #Cloud #Python
Role description
AI/ML Engineer – Financial ServicesContract: 12 months
Location: Birmingham (5 days on-site, non-negotiable)
Rate: Up to £650/day
IR35: Outside
Key Responsibilities
• Design, build, and deploy AI workflows and ML pipelines across large-scale cloud infrastructures.
• Work on enterprise-level financial services projects, ensuring scalability and compliance.
• Collaborate with cross-functional teams to deliver robust AI solutions. Required Skills
• Proven experience in AI/ML pipeline development and deployment.
• Strong background in Python, Machine Learning, and Data Engineering.
• Expertise in AWS and/or Azure cloud platforms.
• Hands-on experience with PyTorch, LLMs, and NLP technologies.
• Previous experience in financial services within large-scale organisations.
AI/ML Engineer – Financial ServicesContract: 12 months
Location: Birmingham (5 days on-site, non-negotiable)
Rate: Up to £650/day
IR35: Outside
Key Responsibilities
• Design, build, and deploy AI workflows and ML pipelines across large-scale cloud infrastructures.
• Work on enterprise-level financial services projects, ensuring scalability and compliance.
• Collaborate with cross-functional teams to deliver robust AI solutions. Required Skills
• Proven experience in AI/ML pipeline development and deployment.
• Strong background in Python, Machine Learning, and Data Engineering.
• Expertise in AWS and/or Azure cloud platforms.
• Hands-on experience with PyTorch, LLMs, and NLP technologies.
• Previous experience in financial services within large-scale organisations.
