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Applied AI / ML Lead – VP (Machine Learning Engineer)

Applied AI / ML Lead – VP (Machine Learning Engineer)

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Freelance Applied AI / ML Lead – VP (Machine Learning Engineer)

Location: London or Paris or Brussels

Rate: €900 per day (Freelance Contract)

Hybrid Working: Mandatory - 2 days onsite per week

We are seeking a highly skilled Applied AI / ML Lead – VP level Machine Learning Engineer to join a dynamic and forward-thinking Applied AI/ML team within a leading global commercial and investment banking environment.

In this role, you will be at the forefront of integrating state-of-the-art AI techniques with unique financial datasets to drive decision optimization and process automation. You will work with a multidisciplinary team to design scalable AI solutions across domains including Natural Language Processing (NLP), Computer Vision, and statistical machine learning.

This position combines deep technical research with pragmatic software engineering, and offers optional management responsibilities depending on your experience.

Key Responsibilities

• Develop robust, scalable Data Science capabilities for diverse business use cases.
• Collaborate with software engineers to deploy ML services integrated into strategic systems.
• Conduct research and analyze data using a range of ML and statistical methods.
• Translate complex AI capabilities into understandable concepts for technical and non-technical stakeholders.
• Maintain thorough documentation of methodologies and processes to ensure compliance with financial regulations.
• Work closely with SRE and cloud teams to architect production-ready ML solutions.

Required Skills & Qualifications

• Proven experience as an ML engineer, delivering business-critical models into production.
• PhD in Computer Science, Mathematics, Statistics, or a related quantitative field.
• Expertise in MLOps tools for reproducibility, version control, and monitoring.
• Long-term experience in model monitoring, retraining, and continuous improvement.
• Specialization in NLP or Computer Vision.
• Strong foundation in ML theory, statistics, and optimization.
• Deep knowledge of PyTorch, NumPy, and pandas.
• Familiarity with popular deep learning architectures (transformers, CNNs, autoencoders).
• Knowledge of open-source datasets and benchmarks in NLP or CV.
• Experience building scalable ML applications using frameworks like Ray, Horovod, DeepSpeed.
• Excellent communication skills with the ability to build trust and convey technical concepts effectively.

Preferred Experience

• Exposure to big data technologies such as Spark and Hadoop.
• Experience building batch and streaming microservices (REST/gRPC).
• Familiarity with GraphQL.

If you’re an experienced ML professional seeking a high-impact freelance opportunity with a global reach, apply now to join a cutting-edge AI/ML initiative driving innovation in financial services.

Please do send a CV across to eobiechefu@welovesalt.com

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting, Professional Services, and Banking

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