Machine Learning Engineer / remote working/ UK based.
Duration: 6-months (Strong likelihood of a renewal)
Location: Remote for (UK Based)
Well versed at designing and building big data pipelines with machine learning workloads which are repeatable and scalable for extremely large datasets.
Deploying latest NLP techniques such as Transformer Models in production, with awareness of the challenges.
Creating performance metrics and tracking processes to measure the effectiveness of Data Science solutions
Conceptualising necessary data governance models to support the technical solution and assure the veracity of the data
Working collaboratively with other members of the Data Science, Data Engineering and Information Architecture teams to innovate and create compelling data-centric stories and experiences
Proficient with programming languages in Big Data platforms, like Python, R, Scala
Knowledge on at least one of the mainstream deep learning frameworks such as PyTorch, TensorFlow
Understanding software development best practices
GCP platform: Dataflow, Composer, BigQuery, Vertex AI or similar techniques in other cloud platforms
MLOps - MLFlow, Kubeflow, BentoML or similar
Productionising machine learning pipelines with Apache Beam and Apache Airflow
Track record in staying conversant in new analytic technologies, architectures, and languages - where necessary - for storing, processing, and manipulating this type of data
Demonstrated Data Science consultancy skills, eg running hypotheses workshops, mentoring more junior team members, preparing reports and presenting data science results.
Skilled to communicate with a variety of stakeholders in the organization
Planning and organisation skills so as to work with a high-performance team, handle demanding clients and multitask effectively and in an agile way
Team management experience preferred
5+ years of experience in AI, data science, data engineering and/or other technology related capabilities in one or multiple industries. Experience in Financial Service sector, in particular ESG analytics and risk management, is preferred.
BSc (ideally MSc or PhD) in Computer Science, Statistics, Engineering or similar technical field
A combination of one or more of the following:
Proficient with programming languages like Python, R, Scala,
Proficient with Git, Linux, Docker
Software Engineering best practices and Object-Oriented Programming
Skills in big data technologies like Hadoop, HDFS, Spark, Apache Beam, Apache Airflow
SQL and NoSQL databases
UP TO £625 (Negotiable, Inside IR35) Long term project with a view to extend at least until December 2022!