AI/ML Engineer, Contract

Overview of 66degrees

66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. With our unmatched engineering capabilities and vast industry experience, we help the world's leading brands transform their business challenges into opportunities and shape the future of work.

At 66degrees, we believe in embracing the challenge and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way. 

Overview of Role

As the ideal AI/ML Engineer, you are someone who can do a deep technical dive and communicate effectively with others. You love wrangling messy data into an elegant solution, and helping others understand the power of their data. This role is a chance to have a huge impact on how businesses operate and make decisions on a daily basis.

Duration: 4+ Months

Targeted start date: Mid June

Location: London, UK

Work Mode: Office

Responsibilities

• Contribute to end-to-end data science projects by diving deep into diverse datasets (tabular, text, image, etc.) to uncover pain points and deliver actionable, data-driven insights.
• Design, build, and deploy sophisticated machine learning solutions, including predictive models, generative AI applications, and autonomous agentic systems to address complex client challenges.
• Implement and manage the full MLOps lifecycle, including CI/CD pipelines, model monitoring, and governance to ensure scalable, reproducible, and production-ready systems on cloud platforms like GCP.
• Act as a subject matter expert on client engagements, supporting pre-sales calls and proposal development through to the successful delivery of advanced analytics and AI solutions.
• Translate complex technical concepts and model results into clear business value through compelling reports, presentations, and demonstrations for both technical and non-technical stakeholders.
• Support the establishment of an AI/ML center of excellence by helping create standard operating procedures, reusable accelerators, and key sales assets.

Qualifications

• 3-6+ years of experience with data science.
• Proven experience in a client-facing or consulting role is highly desirable.
• Python (TensorFlow, Keras, SciKit-Learn, PyTorch), SQL, and Shell Scripting experience.
• Data Engineering experience in Data Cleansing, ETL/ELT Pipelines, Vector DBs, Relational DBs, Graph DBs, NoSQL DBs, and Warehouses.
• Generative AI experience in LLMs, Prompt Engineering, Tuning, RAG, and an understanding of agentic development, including architecture patterns and orchestration frameworks (e.g., LangChain, Google ADK).
• Statistics & Modeling experience with Time-Series, Clustering, Regression, Classification, Recommendation Systems, Deep Learning, Ensemble Modeling, Reinforcement Learning, EDA, Data Visualization, Feature Engineering, Model Evaluation, and Responsible AI.
• MLOps experience with GIT, building CI/CD Pipelines, API Development, building and deploying microservices, Docker, Deployment, Retraining Pipelines, Monitoring, and Model Versioning.
• Google Cloud Experience in the following tools: Vertex AI, Document AI, Cloud Run, Cloud Functions, Gemini, Cloud Build, Dataflow, DataProc, BigQuery, Pub/Sub, and Cloud Storage.
• Kubernetes, Looker, and Graph Data Science experience is a plus.
• Ability to communicate complex, technical processes to non-technical business stakeholders.
• Ability to track changing business requirements and deliver quality solutions both independently and with teams of varying skill sets.
• A Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent work experience is required.

66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.