NLP PEOPLE
Artificial Intelligence Engineer / Data Scientist £50k - £90k dependant on experience, bonus, good benefits. Flexible working location opportunity. This role may suit individuals who have previously held the following role titles: Data Engineer, Data Architect, Big Data Consultant, Data Scientist, Data Modeller, Big Data Analyst, AI Engineer. We have been asked to assist in the recruitment of AI Engineers / Data Scientists to join an innovative and growing team within the data practice of this prestigious global technology consulting firm. Our client offers excellence in career growth, professional development, and a coveted personalised benefits package. Candidates must ideally have UK security clearance and be fully flexible on working location. The successful engineer will be a key member within a team designing modern analytical data solutions, engaging in the full life cycle of projects. This will be a diverse role with an exciting variety of work. Key Skills We are recruiting at various levels (in the above salary brackets), so we are not expecting candidates to be experienced in all of the areas outlined below. Qualifications: AI techniques (e.g. supervised and unsupervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection). Proficiency in Python, R, or Spark to extract insights from data. Experience with Data Bricks / Data QI and SQL for accessing and processing data (PostgreSQL preferred but general SQL knowledge is more important). Familiarity with latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn). Knowledge of software engineering practices (coding practices to DS, unit testing, version control, code review). Experience with Hadoop (especially the Cloudera and Hortonworks distributions), other NoSQL (especially Neo4j and Elastic), and streaming technologies (especially Spark Streaming). Deep understanding of data manipulation/wrangling techniques. Experience using development and deployment technologies (e.g. Vagrant, Virtualbox, Jenkins, Ansible, Docker, Kubernetes). Delivering insights using visualisation 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 clients to establish requirements in non-technical language. Ability to translate business requirements into plausible technical solutions for articulation to other development staff. Experience designing Data Science deliveries, planning projects, and/or leading teams. Deerfoot IT Resources Ltd is a leading specialist recruitment business for the IT industry. We will always email you a full role specification, name our client, and wait for your email authorisation before we send your CV to this organisation. Deerfoot IT: Est. 1997. REC member. ISO certified. Tagged as: Industry , Machine Learning , United Kingdom
Artificial Intelligence Engineer / Data Scientist £50k - £90k dependant on experience, bonus, good benefits. Flexible working location opportunity. This role may suit individuals who have previously held the following role titles: Data Engineer, Data Architect, Big Data Consultant, Data Scientist, Data Modeller, Big Data Analyst, AI Engineer. We have been asked to assist in the recruitment of AI Engineers / Data Scientists to join an innovative and growing team within the data practice of this prestigious global technology consulting firm. Our client offers excellence in career growth, professional development, and a coveted personalised benefits package. Candidates must ideally have UK security clearance and be fully flexible on working location. The successful engineer will be a key member within a team designing modern analytical data solutions, engaging in the full life cycle of projects. This will be a diverse role with an exciting variety of work. Key Skills We are recruiting at various levels (in the above salary brackets), so we are not expecting candidates to be experienced in all of the areas outlined below. Qualifications: AI techniques (e.g. supervised and unsupervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection). Proficiency in Python, R, or Spark to extract insights from data. Experience with Data Bricks / Data QI and SQL for accessing and processing data (PostgreSQL preferred but general SQL knowledge is more important). Familiarity with latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn). Knowledge of software engineering practices (coding practices to DS, unit testing, version control, code review). Experience with Hadoop (especially the Cloudera and Hortonworks distributions), other NoSQL (especially Neo4j and Elastic), and streaming technologies (especially Spark Streaming). Deep understanding of data manipulation/wrangling techniques. Experience using development and deployment technologies (e.g. Vagrant, Virtualbox, Jenkins, Ansible, Docker, Kubernetes). Delivering insights using visualisation 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 clients to establish requirements in non-technical language. Ability to translate business requirements into plausible technical solutions for articulation to other development staff. Experience designing Data Science deliveries, planning projects, and/or leading teams. Deerfoot IT Resources Ltd is a leading specialist recruitment business for the IT industry. We will always email you a full role specification, name our client, and wait for your email authorisation before we send your CV to this organisation. Deerfoot IT: Est. 1997. REC member. ISO certified. Tagged as: Industry , Machine Learning , United Kingdom
Adecco
With a collaborative ethos, our Senior Data Scientist helps the organisations we work with become truly 'insight driven', by fully exploiting their data using the convergence of Cloud and Artificial Intelligence to deliver real business value. This role sits within our Artificial Intelligence & Analytics team, we want passionate, energetic people who live and breathe all things AI, whether that be machine learning, deep learning, computer vision and so on, combined with great software engineering skills…no point creating great models if we can't deploy them! We want you to be thinking "how can I use what I know?", "what do I need to learn?" in order to help your client achieve their business goals. Why You? We are looking to bring in people at all levels, so whilst the list of skills below is fairly heavy, please do get in touch even if you only have two or three. Detailed knowledge on a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.) Experience using Python, R or Spark to extract insights from data and Knowledge of SQL for accessing and processing data (PostgreSQL preferred but general SQL knowledge more important) Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn) Hadoop (especially the Cloudera and Hortonworks distributions), other NoSQL (especially Neo4j and Elastic), and streaming technologies (especially Spark Streaming) Experience using development and deployment technologies, for instance virtualisation and management (e.g. Vagrant, Virtualbox), continuous integration tools (e.g. Jenkins, Concourse, Drone, Bamboo), configuration management tooling (e.g. Ansible) and containerisation technologies (e.g. Docker, Kubernetes, Swarm) Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform) Why us? While we're a global consultancy, we're made up of supportive, close-knit communities. Everyone wants to get the best solutions for our customers and create the best working environment.Potential is just as important to us as having the required skills. If you have the right mindset, we might be able to provide you with bespoke training. So, if you're not sure you have all the skills you need, but you're still passionate about the role, please apply and we'll see if we can support you.
With a collaborative ethos, our Senior Data Scientist helps the organisations we work with become truly 'insight driven', by fully exploiting their data using the convergence of Cloud and Artificial Intelligence to deliver real business value. This role sits within our Artificial Intelligence & Analytics team, we want passionate, energetic people who live and breathe all things AI, whether that be machine learning, deep learning, computer vision and so on, combined with great software engineering skills…no point creating great models if we can't deploy them! We want you to be thinking "how can I use what I know?", "what do I need to learn?" in order to help your client achieve their business goals. Why You? We are looking to bring in people at all levels, so whilst the list of skills below is fairly heavy, please do get in touch even if you only have two or three. Detailed knowledge on a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.) Experience using Python, R or Spark to extract insights from data and Knowledge of SQL for accessing and processing data (PostgreSQL preferred but general SQL knowledge more important) Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn) Hadoop (especially the Cloudera and Hortonworks distributions), other NoSQL (especially Neo4j and Elastic), and streaming technologies (especially Spark Streaming) Experience using development and deployment technologies, for instance virtualisation and management (e.g. Vagrant, Virtualbox), continuous integration tools (e.g. Jenkins, Concourse, Drone, Bamboo), configuration management tooling (e.g. Ansible) and containerisation technologies (e.g. Docker, Kubernetes, Swarm) Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform) Why us? While we're a global consultancy, we're made up of supportive, close-knit communities. Everyone wants to get the best solutions for our customers and create the best working environment.Potential is just as important to us as having the required skills. If you have the right mindset, we might be able to provide you with bespoke training. So, if you're not sure you have all the skills you need, but you're still passionate about the role, please apply and we'll see if we can support you.
