Artificial Intelligence Engineer / Data Scientist £50k– £90k dependant on experience, bonus, good benefits. Flexibleworking location opportunity. This role may suit individuals whohave previously held the following role titles: Data Engineer, DataArchitect, Big Data Consultant, Data Scientist, Data Modeller, BigData Analyst, AI Engineer. We have been asked to assist in therecruitment of AI Engineers / Data Scientists to join an innovativeand growing team within the data practice of this prestigiousglobal technology consulting firm. Our client offers excellence incareer growth, professional development, and a coveted personalisedbenefits package. Candidates must ideally have UK securityclearance and be fully flexible on working location. The successfulengineer will be a key member within a team designing modernanalytical data solutions, engaging in the full life cycle ofprojects. This will be a diverse role with an exciting variety ofwork. Key Skills We are recruiting at various levels (in the abovesalary brackets), so we are not expecting candidates to beexperienced in all of the areas outlined below. Qualifications: -AI techniques (e.g. supervised and unsupervised machine learningtechniques, deep learning, graph data analytics, statisticalanalysis, time series, geospatial, NLP, sentiment analysis, patterndetection). - Proficiency in Python, R, or Spark to extractinsights from data. - Experience with Data Bricks / Data QI and SQLfor accessing and processing data (PostgreSQL preferred but generalSQL knowledge is more important). - Familiarity with latest DataScience platforms (e.g. Databricks, Dataiku, AzureML, SageMaker)and frameworks (e.g. Tensorflow, MXNet, scikit-learn). - Knowledgeof software engineering practices (coding practices to DS, unittesting, version control, code review). - Experience with Hadoop(especially the Cloudera and Hortonworks distributions), otherNoSQL (especially Neo4j and Elastic), and streaming technologies(especially Spark Streaming). - Deep understanding of datamanipulation/wrangling techniques. - Experience using developmentand deployment technologies (e.g. Vagrant, Virtualbox, Jenkins,Ansible, Docker, Kubernetes). - Delivering insights usingvisualisation tools or libraries (JavaScript preferred). -Experience building and deploying solutions to Cloud (AWS, Azure,Google Cloud) including Cloud provisioning tools (e.g. Terraform).- Strong interpersonal skills with the ability to work with clientsto establish requirements in non-technical language. - Ability totranslate business requirements into plausible technical solutionsfor articulation to other development staff. - Experience designingData Science deliveries, planning projects, and/or leading teams.Deerfoot IT Resources Ltd is a leading specialist recruitmentbusiness for the IT industry. We will always email you a full rolespecification, name our client, and wait for your emailauthorisation before we send your CV to this organisation. DeerfootIT: Est. 1997. REC member. ISO certified. Tagged as: Industry,Machine Learning, United Kingdom #J-18808-Ljbffr
